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Data Engineer (Databricks, SQL, Python) We are seeking an experienced&nbsp;Data Engineer&nbsp;with 4 to 5 years of experience, and at least 3+ years of expertise in designing and implementing data solutions using the Databricks platform. The ideal candidate will have a solid background in distributed computing, big data technologies, and cloud platforms. Key Responsibilities:<ul><li>Design, implement, and maintain scalable data solutions using&nbsp;Databricks.</li><li>Work with programming languages such as&nbsp;Python, SQL, or Scala.</li><li>Collaborate with cross-functional teams to deliver data-driven solutions.</li><li>Optimize and manage data pipelines using&nbsp;Apache Spark&nbsp;and&nbsp;cloud services&nbsp;(AWS, Azure, or GCP).</li><li>Leverage DevOps practices to automate deployments and monitor data pipelines.</li></ul> Key Skills:<ul><li>Proficiency in&nbsp;Python,&nbsp;SQL, or&nbsp;Scala.</li><li>Hands-on experience with&nbsp;Databricks&nbsp;and&nbsp;Apache Spark.</li><li>Strong knowledge of&nbsp;cloud platforms&nbsp;like AWS, Azure, or GCP.</li><li>Good understanding of&nbsp;distributed computing&nbsp;and big data technologies.</li><li>Familiarity with&nbsp;containerization&nbsp;(Docker, Kubernetes) and&nbsp;DevOps&nbsp;practices.</li></ul> Good to Have:<ul><li>Experience with&nbsp;containerization technologies&nbsp;(Docker, Kubernetes).</li><li>Knowledge of&nbsp;automated deployment and monitoring&nbsp;for data pipelines.</li></ul> Qualifications:<ul><li>Bachelor’s or Master’s degree in&nbsp;Computer Science,&nbsp;Engineering, or a related field</li></ul>

Teachmantra Solution

Data Engineer

Azure Data Engineer If you have an experience between 8-13 years into Azure, databricks, Pyspark, snowflake, python, ADF, SQL, Fabric, Synapse. Kindly share your resumePlease note and mention the following in the mail body-1. Total years of experience-2. Official Notice period-3. Current &amp; preferred location-4. Relevant experience into Azure-5. Current CTC (Fixed, Variable)-6. Expected CTC-Looking for those who are serving notice period or upto 30-45 days ONLY.

Fractal Analytics Private Limited

Azure Data Engineer <ul><li>Experience: 6+ Years</li><li>Interview Mode: Face To Face Interview</li><li>Mandatory Skills: Azure Databricks, Pyspark, SQL, Azure Data factory&nbsp;</li></ul> Share your updated resume now.

eSoftLabs

GCP Data Engineer Skills Required:<ul><li>Expertise in GCP ecosystem – BigQuery, Dataflow, Composer, Pub/Sub, DataProc</li><li>Strong proficiency in Python, PySpark, SQL</li><li>Knowledge of HDFS, Hadoop and large-scale data migration/engineering</li></ul> Responsibilities:<ul><li>Design, build, and optimize data pipelines on GCP</li><li>Lead and deliver end-to-end data engineering &amp; migration projects independently</li><li>Collaborate with stakeholders to build scalable and reliable cloud data solutions</li></ul> Experience: 5+ years Share your updated resume now.

Natobotics

Data Engineer -Apache Spark-Java<h4>Job Responsibilities</h4>As a Techie, Do you face these challenges while pursuing opportunities? <ul><li>Navigating numerous job platforms.</li><li>Enduring lengthy interview processes. </li><li>Tedious negotiation phases.</li><li>Ambiguity about project quality.</li><li>Getting entangled in unsatisfactory work cultures.</li><li>Wavering job security.</li></ul>What are we looking for ?Actively seeking experienced senior developers in #Spark and #Kafka who are open to working in the PST timezone. Ideal candidates should possess a minimum of 6 years of hands-on experience with Spark, Kafka, #java, Postgres, and a track record of successfully delivering 3-4 Spark projects. ﻿<h4>Experience Level</h4>Senior Level

Pradeepit Global Consulting Private Limited

Senior Data EngineerSkill set: Azure Databricks , ADF, SQL, ETL (Data engineering) Roles &amp; Responsibilities, Mandatory: JD <ul><li>6-8 years of professional work experience in a relevant field</li><li>Good experience and hands-on with Azure Databricks, ADF, delta lake.</li><li>Experience/ prior knowledge on semi structure data and steaming, Azure synapse analytics, data lake, data warehouse. </li><li>Hands on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse, SQL, Python, cosmos db.</li><li>Proficient in creating Azure Data Factory pipelines for ETL processing; copy activity, custom Azure development etc.</li><li>knowledge on Power bi would be beneficial.</li><li>Understand business requirements to set functional specifications for reporting applications</li></ul><h4>Experience Level</h4>Senior Level

Data Modeler<h4>Department</h4>Corporate Group<h4>Job Description</h4>We are seeking a skilled Data Modeler with expertise in Python programming to join our team. The successful candidate will be responsible for designing, developing, and maintaining data models to support business intelligence and data analytics initiatives. The Data Modeler will utilize Python programming skills to develop data processing pipelines, data visualization tools, and machine learning models to drive business insights. Responsibilities:There is scope for learning and developing ontologies to support data integration, data sharing, and data reuse across the organization. Collaborate with stakeholders to identify opportunities for ontology development and implement ontologies using standards such as OWL, RDF, and SKOS.<h4>Open Positions</h4>1<h4>Mandatory Skills</h4>Modeler, Data Modeling, sql, Data Architecture, Database Design, ERwin, Python, PLSQL, NoSQL<h4>Education Qualification</h4>B.E/B. Tech or M.E/M. Tech<h4>Experience</h4>6 to 8 years

CRISIL Ltd

Alation Expert We’re looking for exceptional professionals who’ve mastered the Alation tool — people who can turn metadata into meaning and data into business impact.If you’ve worked hands-on with Alation for data cataloging, governance, or metadata automation, we’d love to connect!Domain: Telecom Data &amp; AI Share your updated resume now.

Incedo Inc

3D Artist

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>.

Experion Technologies India Pvt Ltd

Senior Analytics EngineerSnowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.JOB DESCRIPTIONWe are looking for a Senior Analytics Engineer to join our growing Finance data team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake’s success as a company. As a Senior Analytics Engineer, you will be responsible for the following:<ul><li>Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation</li><li>Perform data QA and develop automated testing procedures for use with Snowflake data models</li><li>Translate reporting, analysis, and automation requirements into data model requirements and specifications</li><li>Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases</li><li>Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth</li><li>Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions</li><li>Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA</li><li>Build and maintain user friendly documentation for data models and key metrics</li><li>Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team</li></ul>WHAT YOU WILL NEEDRequired skills:<ul><li>5+ years of experience working as an analytics, data, or BI engineer</li><li>Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets</li><li>Experience using Python to parse, structure, and transform data</li><li>Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies</li><li>Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders</li><li>Ability to prioritize and execute tasks in a high-pressure, constantly changing environment</li><li>Ability to think creatively to solve problems</li><li>Passion for detail and quality, an ability to identify weaknesses in data and process, and a willingness to drive improvement</li><li>Willingness to work flexible international hours as needed</li><li>Experience with Excel, ERP, Salesforce, and Financial Planning tools</li></ul>Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: <a href="http://careers.snowflake.com" rel="noopener noreferrer nofollow" target="_blank">careers.snowflake.com</a><h4>Experience Level</h4>Senior Level

Snowflake Computing India Llp

Business Intelligence Engineer

Tech Lead - Snowflake + SQL + SSIS JobYASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Snowflake Professionals in the following areas : <h4>Experience</h4>8-10 Years<h4>Job Description</h4>Job Title: Senior Data Engineer (Snowflake and MS SQL Server)Job Summary: We are looking for a highly skilled Senior Data Engineer with 8–10 years of experience in data engineering, specializing in Snowflake, Microsoft SQL Server, and SSIS package review/analysis. The ideal candidate will not only design and optimize scalable data solutions but also provide technical guidance, mentorship, and direction to other developers in the team. This role requires strong hands-on expertise, architectural thinking, and leadership in building reliable data ecosystems that enable analytics and reporting across the enterprise. Must-Have Skills &amp; Experience:· 8–10 years of professional experience in data engineering.· Deep expertise in Microsoft SQL Server (T-SQL, indexing, query tuning, stored procedures).· Strong hands-on knowledge of Snowflake (database design, ingestion, data sharing, security, and resource management).· Proven experience designing and implementing end-to-end data warehousing and ETL/ELT solutions.· Prior exposure to SSIS package review, analysis, and troubleshooting.· Strong understanding of data architecture, performance tuning, and optimization strategies.· Experience in leading or mentoring developers and providing architectural guidance.· Excellent communication and stakeholder management skills with the ability to translate technical requirements into business-aligned solutions. Key Responsibilities:· Lead the design and development of data pipelines and integration flows across SQL Server and Snowflake.· Review and guide developers on SSIS package optimization and troubleshooting.· Set coding and design best practices for SQL and Snowflake development, ensuring performance, scalability, and robustness.· Mentor junior and mid-level data engineers by providing technical guidance, peer reviews, and knowledge sharing.· Collaborate with solution architects and business stakeholders to design data models, schemas, and warehouse solutions for enterprise analytics.· Drive initiatives to ensure data quality, governance, and compliance across platforms.· Partner with cross-functional teams to prioritize and deliver strategic data engineering solutions.· Troubleshoot complex issues, conduct root cause analysis, and propose long-term improvements.· Contribute to the continuous improvement of data engineering processes, tools, and Frameworks.<h4>Required Technical/ Functional Competencies</h4>Domain/ Industry Knowledge:<ul><li>Working knowledge of customer's business processes and relevant technology platform or product.</li><li>Able to analyze current-state and define to-be processes in collaboration with SME and present recommendations with tangible benefits.</li></ul>Requirement Gathering and Analysis:<ul><li>Specialized knowledge of requirement management processes and requirement analysis processes, tools &amp; methodologies.</li><li>Extract requirements for complex scenarios and prototype independently.</li><li>Identify modules impacted, features/functionalities impacted and arrive at high level estimates.</li><li>Develop traceability matrix and identify transition requirements.</li></ul>Product/ Technology Knowledge:<ul><li>Implement code or configure/customize products, drive adoption of industry standards and practices, and contribute to development of reusable assets and innovative solutions.</li><li>Conduct technical sessions and knowledge sharing sessions, and work on complex modules independently.</li><li>Analyze various frameworks/tools and present recommendations, contribute to development of training and certification material, and demonstrate thought leadership through whitepapers and webinars.</li></ul>Architecture tools and frameworks:<ul><li>Specialized knowledge of architecture Industry tools &amp; frameworks.</li><li>Implement tools &amp; framework in a complex scenario.</li><li>Conduct tools &amp; framework customization &amp; tailoring workshop.</li></ul>Architecture concepts and principles:<ul><li>Specialized knowledge of architectural elements, SDLC, methodologies &amp; customer business/domain.</li><li>Establish Architectural principles/ patterns and use advanced tools to capture and analyze system/ technical issues.</li></ul>Analytics Solution Design:<ul><li>In Depth knowledge of statistical &amp; machine learning techniques.</li><li>Able to design analytical modelling approach for moderate-scale projects or for components of large-scale.</li><li>Understand business requirements &amp; constraints including potential trade-offs between speed &amp; accuracy, maintains trends.</li></ul>Tools &amp; Platform Knowledge:<ul><li>Familiarity with the wide range of data science/analytics commercial and open source software tools, their constraints, advantages, disadvantages, areas of application and mainstream packages relevant to technical stages of data science/analytics projects.</li><li>Intermediate to advanced skills in programming languages used for data science/analytics and ability to apply these for data acquisition, pre-processing, modelling and model deployment. Ability to interpret and modify existing scripts and conduct quality checks.</li></ul><h4>Required Behavioral Competencies</h4>Accountability:<ul><li>Takes responsibility for and ensures accuracy of results and deadlines of the function and/or team and in completing own work.</li></ul>Collaboration: <ul><li>Reaches out to others in team to ensure connections are made and team members are working together.</li><li>Looks for ways to integrate work with other teams, identifying similarities and opportunities, making necessary changes in work to ensure successful integration.</li></ul>Agility:<ul><li>Demonstrates openness to the possibilities that change presents and begins to plan for how role may change.</li><li>Works with others to prepare for change.</li></ul>Customer Focus:<ul><li>Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.</li></ul>Communication:<ul><li>Communicates well-organized ideas, information, and data to broad and diverse audiences across the Organization (through formal and informal presentations).</li><li>Helps others identify their appropriate audience.</li></ul>Drives Results:<ul><li>Sets realistic stretch goals for self &amp; others and perseveres to follow through with resilience and remains calm in a crisis or stressful situation to exceed organization/client expectation.</li></ul>Resolves Conflict:<ul><li>Identifies and understands the source of conflict, addresses, and overcomes.</li></ul><h4>Certifications</h4>
Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles<ul><li>Flexible work arrangements, Free spirit, and emotional positivity</li><li>Agile self-determination, trust, transparency, and open collaboration</li><li>All Support needed for the realization of business goals,</li><li>Stable employment with a great atmosphere and ethical corporate culture</li></ul><h4>Experience Level</h4>Senior Level

Yash Technologies Private Limited

Associate - Data Science - Advisory Corporate A career within Application and Emerging Technology services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities:<ul><li>Build, Train, and Deploy ML Models using Python on Azure/AWS</li><li>3+ years of Experience in building Machine Learning and Deep Learning models in Python</li><li>Experience on working on AzureML/AWS Sagemaker</li><li>Ability to deploy ML models with REST based APIs</li><li>Proficient&nbsp;in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)</li><li>Ability to work directly with customers with good communication skills.</li><li>Ability to analyze datasets using SQL, Pandas</li><li>Experience of working on Azure Data Factory, PowerBI</li><li>Experience on PySpark, Airflow etc.</li><li>Experience of working on Docker/Kubernetes</li></ul> Mandatory skill sets: Data Science, Machine LearningPreferred skill sets: Data Science, Machine LearningYears of experience required: 3 - 6Education qualification: B.Tech / M.Tech / MBA / MCA

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