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Senior Data Engineer We’re hiring Senior Data Engineer to design, develop, and enhance data systems that empower smarter decisions. Experience: 7+ yearsIdeal Start Date: ImmediateMandatory Skills: Spark Optimization, Airflow, S3, Glue, Lambda, Step Function, Snowflake If interested, share your CV.

Experion Technologies India Pvt Ltd

Data Engineer

Data Engineer Sr. AnalystJob Title -  &lt;Data Engineer&gt; + &lt;Level Sr.Analyst&gt; + &lt;Entity ACS/Accenture Song&gt; Management Level: &lt;Level 10- Sr. Analyst &gt;Location: Kochi, Coimbatore, TrivandrumMust have skills: Databricks including Spark-based ETL, Delta LakeGood to have skills: PysparkJob SummaryWe are seeking a highly skilled and experienced Senior Data Engineer to join our growing Data and Analytics team. The ideal candidate will have deep expertise in Databricks and cloud data warehousing, with a proven track record of designing and building scalable data pipelines, optimizing data architectures, and enabling robust analytics capabilities. This role involves working collaboratively with cross-functional teams to ensure the organization leverages data as a strategic asset. Your responsibilities will include:Roles and Responsibilities               <ul><li>Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other modern tools.</li><li>Architect, implement, and manage cloud-based data warehousing solutions on Databricks (Lakehouse Architecture)</li><li>Develop and maintain optimized data lake architectures to support advanced analytics and machine learning use cases.</li><li>Collaborate with stakeholders to gather requirements, design solutions, and ensure high-quality data delivery.</li><li>Optimize data pipelines for performance and cost efficiency.</li><li>Implement and enforce best practices for data governance, access control, security, and compliance in the cloud.</li><li>Monitor and troubleshoot data pipelines to ensure reliability and accuracy.</li><li>Lead and mentor junior engineers, fostering a culture of continuous learning and innovation.</li><li>Excellent communication skills</li><li>Ability to work independently and along with client based out of western Europe.</li></ul>Professional and Technical Skills<ul><li>3.5-5 years of experience in Data Engineering roles with a focus on cloud platforms.</li><li>Proficiency in Databricks, including Spark-based ETL, Delta Lake, and SQL.</li><li>Strong experience with one or more cloud platforms (AWS preferred).</li><li>Handson Experience with Delta lake, Unity Catalog, and Lakehouse architecture concepts.</li><li>Strong programming skills in Python and SQL; experience with Pyspark a plus.</li><li>Solid understanding of data modeling concepts and practices (e.g., star schema, dimensional modeling).</li><li>Knowledge of CI/CD practices and version control systems (e.g., Git).</li><li>Familiarity with data governance and security practices, including GDPR and CCPA compliance.</li></ul>Additional Information<ul><li>Experience with Airflow or similar workflow orchestration tools.</li><li>Exposure to machine learning workflows and MLOps.</li><li>Certification in Databricks, AWS</li><li>Familiarity with data visualization tools such as Power BI</li></ul><a href="https://www.accenture.com/in-en/about/company-index" target="_blank">About Our Company | Accenture</a> (do not remove the hyperlink)

Accenture India Private Limited

Data Analyst Intern

Snowflake Developer <ul><li>Expertise: Snowflake SQL Development, ETL/ELT, Data Modeling, Cloud Platforms (AWS/Azure/GCP), Performance Tuning</li><li>Experience: 5-10 Years</li></ul> Share your resume now.

Bizmetric

SQL Developer

GCP Cloud Analytics Engineer We’re looking for a GCP Cloud Analytics Engineer with strong HEOR/RWE/US Healthcare domain experience and hands-on expertise in GCP, Python/PySpark, AI &amp; ML to design and build scalable data pipelines and applications on cloud-native ecosystem. You’ll work on automation, high-volume data systems, driving data and analytics teams. Key Responsibilities:-Design, develop and maintain ETL data pipelines using BigQuery, SQL and Python/Pyspark-Process and transform large-scale structured and unstructured datasets cleaning, preprocessing, and feature engineering using advanced ML algorithms.-Analyze, understand and migrate existing ETL processes from SAS to BigQuery/ Python/PySpark-Develop workflows for data ingestion, transformation, and loading on GCP (BigQuery, Cloud Storage, Dataflow)-Generate effective data visualizations and insights using Tableau/PowerBI-Ensure data quality, consistency and reliability during migration and in production pipelines Key Qualifications:-3+ years of Experience in ETL development, Data Engineering, Data Management with strong focus on GCP, SQL, Python/Pyspark and AI/ML for building production ready Python-based AI/ML pipelines and APIs for integration with production systems.-Strong HEOR/RWE/Clinical Trials or US healthcare data (medical/pharmacy claims, Labs and enrollment data.-Strong understanding of data preprocessing, feature selection, and model evaluation techniques. Apply ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras) for NLP, and predictive analytics.-Strong hands-on experience with GCP BigQuery, Data Proc, Airflow DAG, Dataflow, GCS, Pub/sub, Secret Manager, Cloud Functions, Beams, CI/CD workflows, Git.-Strong data visualization skills with Tableau/PowerBI.-Good understanding of SAS/SQL data step logic and procedures; experience in migrating ETL jobs from SAS to Python-Strong problem solving and communication skills.-Good understanding of Generative AI and LLM fine-tuning.-Familiar with cloud AI services (AWS, Azure ML/AI Platform) is a plus. How to Apply:Please share your updated profile with me at <a rel="noopener noreferrer" href="\&quot;mailto:Raman.Kumar2@exlservice.com\&quot;" target="_blank">Raman.Kumar2@exlservice.com</a>

EXL Service

Cloud Engineer

Data Validation Professional Now Hiring: Data Validation Role (Hybrid)Employment Type: Full-TimeExperience: 5+ yrs Must-have*Experience in Model Governance *Good understanding of Model Governance framework SS 1/23*Good understanding of Credit Risk*Interest in documentation work*Strong collaboration and inter-personal skills to seek and gather inputs from Model Owners as required Good-to-have*Experience in Model Monitoring / Model Validation*Any exposure to SAS, SQL, Python If you fit the criteria and are ready to take on a new challenge, please share your updated resume.

Senior Data Processing Officer

Staff Engineer, Data Science<h4>Company Description</h4>👋🏼We're Nagarro.We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!<h4>Job Description</h4>REQUIREMENTS:<ul><li>Total experience 7+ years.</li><li>Strong working experience in Python.</li><li>Hands on working knowledge of the DS/ML stack (NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch).</li><li>Working experience in SQL.</li><li>Hands-on experience with cloud-based data handling and ML workflows (Google Cloud preferred).</li><li>Experience in building microservice APIs for ML solutions.</li><li>Exposure to model monitoring technologies.</li><li>Experience with deploying ML solutions at scale (Kubeflow, VertexAI, Airflow, PySpark).</li><li>Proficiency with data visualization libraries (matplotlib, seaborn, plotly, etc.)</li><li>Excellent communication and collaboration skills for working across global teams.</li></ul>RESPONSIBILITIES:<ul><li>Writing and reviewing great quality code.</li><li>Understanding functional requirements thoroughly and analyzing the client's needs in the context of the project.</li><li>Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it.</li><li>Determining and implementing design methodologies and tool sets.</li><li>Enabling application development by coordinating requirements, schedules, and activities.</li><li>Being able to lead/support UAT and production roll outs.</li><li>Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it.</li><li>Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement.</li><li>Giving constructive feedback to the team members and setting clear expectations.</li><li>Helping the team in troubleshooting and resolving of complex bugs.</li><li>Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.</li><li>Carrying out POCs to make sure that suggested design/technologies meet the requirements.</li></ul><h4>Qualifications</h4>Bachelor’s or master’s degree in computer science, Information Technology, or a related field.<h4>Experience Level</h4>Senior Level

Nagarro Softwares Pvt. Ltd

Data Scientist

MTS - Fleet Insights Team - FlashArrayWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.Fleet Insights TeamThe Fleet Insights team operates at the intersection of software engineering, data engineering, and cloud-scale observability. We dig deep into customer-impacting issues, design resilient systems to detect and classify them, and build intelligent data pipelines that transform how Pure understands and supports its global fleet.As an MTS-4 engineer, you'll be both a systems builder and a data problem solver—designing large-scale services, leading technical direction, and building tools that extract actionable insights from telemetry and logs. This is a high-leverage role for someone who wants to build at scale, solve tough data problems, and make a measurable difference to Pure’s customers.WHAT YOU’LL BE DOING...<ul><li>Architect and implement backend services for ingesting, extracting, and classifying telemetry logs at scale (e.g., TALES platform).</li><li>Design data pipelines to process and analyze structured and unstructured logs, enabling real-time fleet intelligence and RCA automation.</li><li>Build scalable distributed systems using technologies like Redis, SQS, RDS, and S3 to support fault-tolerant, stateless services.</li><li>Develop and deploy microservices on cloud-native platforms (e.g., AWS, Pure1Build) using containerized infrastructure (Docker, Kubernetes).</li><li>Establish and maintain robust observability—define SLOs, build health checks, monitor job queues, and implement alerting using tools like Datadog and PagerDuty.</li><li>Create and optimize data models for failure classification, metrics aggregation, and long-term log storage using SQL-based stores (PostgreSQL, Snowflake).</li><li>Mentor junior engineers, drive technical reviews, and write high-quality design docs that guide the team’s architecture decisions.</li><li>Collaborate closely with platform, support, and product teams to align on service APIs, failure workflows, and operational ownership.</li><li>Continuously improve system reliability, cost-efficiency, and developer experience through refactoring, automation, and design iteration.</li></ul>WHAT YOU’LL NEED TO BRING TO THIS ROLE...<ul><li>8+ years of experience in software engineering and/or data engineering, building and operating backend services in Python, Go, or Java.</li><li>Strong knowledge of distributed systems fundamentals, service-oriented architecture, and asynchronous workflows.</li><li>Hands-on experience building data pipelines or log analytics systems using cloud-native tools (e.g., AWS Glue, Lambda, S3, Athena, Kafka, or equivalent).</li><li>Deep understanding of database systems—SQL and NoSQL—combined with strong data modeling and performance optimization skills.</li><li>Cloud infrastructure expertise, ideally in AWS, including IAM, cost-aware architecture, and autoscaling principles.</li><li>Familiarity with CI/CD pipelines, microservices lifecycle management, and containerization with Docker/Kubernetes.</li><li>Demonstrated ability to design and lead complex, cross-functional technical initiatives with minimal oversight.</li><li>Excellent communication skills—able to explain design trade-offs, simplify complex systems, and influence across teams.</li><li>A strong mentoring mindset and a willingness to help level-up peers and junior team members.</li><li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.</li></ul>WHAT YOU CAN EXPECT FROM US:<ul><li>Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers.</li><li>Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®!</li><li>Pure Team: We build each other up and set aside ego for the greater good.</li></ul>And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out <a href="http://purebenefits.com">purebenefits.com</a> for more information.ACCOMMODATIONS AND ACCESSIBILITY:Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at <a href="mailto:TA-Ops@purestorage.com">TA-Ops@purestorage.com</a> if you’re invited to an interview.OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.<h4>Experience Level</h4>Senior Level

Pure Storage India Pvt Ltd

Dispatch Specialist

Sr. Data engineerAbout Gartner Digital Markets:Gartner Digital Markets is a business unit within Gartner. Our mission is to empower organizations to accelerate growth by helping them embrace the right technology and services.Gartner Digital Markets is the world’s largest platform for finding software and services. With more than 100 million annual visitors across four buyer destinations—Capterra, GetApp, Software Advice, and UpCity—and 70 localized sites, Gartner Digital Markets helps software and service providers build their brand, capture demand, and understand their market. As the only destination for software and services driven by independent, objective research and verified customer reviews, we help connect providers with in-market buyers to fuel growth across the full funnel.For candidates interested in taking their next career step, Gartner Digital Markets offers the best of two worlds—the stability and resources of a large, established organization combined with the fast pace and excitement of working for a dynamic growth business. Our team is on the front lines of innovation in an industry that is always transforming, providing an incredible opportunity for you to grow and learn throughout your career.About the Role:We are seeking a Senior/Lead Data Platform Engineer to join our Data Platform team, who will play a key role in enabling and empowering data practitioners such as data engineers, analytics engineers, and analysts by providing robust, scalable, and self-service platform capabilities.You will focus on building and maintaining the foundational infrastructure, tools, and frameworks that support data ingestion, transformation, and analytics. Your work will abstract away complexity, enforce standards, and reduce friction for teams consuming or producing data.What you’ll do:<ul><li>Design, develop, and maintain a scalable and secure data platform that supports ingestion, transformation, orchestration, cataloging, and governance.</li><li>Build tools, libraries, and services that allow other teams to own and manage their own pipelines and workflows independently.</li><li>Provide self-service infrastructure (e.g., templates, SDKs, CI/CD patterns) to support repeatable and consistent data engineering practices.</li><li>Implement and manage data platform components: orchestration frameworks, data catalog, access control layers, and metadata systems.</li><li>Collaborate with stakeholders to define SLAs, monitoring, and observability across the data stack.</li><li>Champion infrastructure as code, automation, and standardization across the platform.</li><li>Ensure data security, compliance, and cost efficiency across environments.</li></ul>What you’ll need:<ul><li>4 to 6 years of hand-on experience working in data infrastructure, data platform engineering, or related roles with a bachelor’s degree</li><li>Proficiency in Python and experience building backend services or CLI tools.</li><li>Proficiency in cloud data platforms like Snowflake or Databricks etc.</li><li>Understanding of core cloud services, preferably AWS (S3, EC2, Glue, IAM, etc.).</li><li>Hands-on experience with orchestration tools (Airflow, Prefect etc.).</li><li>Hands on with CI/CD, infrastructure as code (Terraform).</li><li>Familiarity with Kubernetes, Docker, and container-based deployment models.</li></ul>Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.#LI-VG1Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a <a href="https://jobs.gartner.com/life-at-gartner/life-at-gartner/gartner-s-awards-and-recognitions/" rel="noopener noreferrer" target="_blank">great place to work</a>.What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to <a href="mailto:ApplicantAccommodations@gartner.com?subject=Request%20for%20Applicant%20Accommodations" rel="noopener noreferrer" target="_blank">ApplicantAccommodations@gartner.com</a>.Job Requisition ID:95310By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.Gartner Applicant Privacy Link: <a href="https://jobs.gartner.com/applicant-privacy-policy" rel="noopener noreferrer" target="_blank">https://jobs.gartner.com/applicant-privacy-policy</a> For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.<h4>Experience Level</h4>Senior Level

Gartner India Research & Advisory Services Private Limited

BI Developer

Gen AI Architect We’re Hiring! Join our Dynamic Team at Straive - Gramener<ul><li>Skills - Gen AI, RAG, LLM, Model Development</li><li>Experience - 10+ Years</li></ul> Share your updated resume now.

Straive

Senior Architect

Lead Data Engineer(SQL,SSIS) We’re looking for talented professionals to join our growing team. Role - Lead Data Engineer (SQL,SSIS)Job ID - EXP/001/0066Experience - 5 YrsKey Skills - SQL, SSIS, ADF, Azure Data Lake/ Lake House If you have strong expertise in these areas and are passionate about building scalable, high-quality solutions, we’d love to hear from you!Share your ideal profile/resume with us at: <a rel="noopener noreferrer" href="\&quot;mailto:amith.jolly@experionglobal.com\&quot;" target="_blank">amith.jolly@experionglobal.com</a>.

Salesforce Data Cloud Expert Are you passionate about Salesforce Data Cloud and have hands-on experience in:<ul><li> Data Harmonization</li><li> Customer Segmentation</li><li> Writing complex SQL queries</li><li> Data Ingestion</li></ul> Must have:-<ul><li>Experience: 4-10 years</li><li>Skill: CDP, salesforce data cloud, salesforce marketing cloud</li><li>Notice: Immediate to 30 days</li></ul> Share your updated resume now.

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