Senior Associate - Azure DevOps and Data Analytics
PriceWaterhouseCoopers Pvt Ltd ( PWC )
Work from Office
Full Time
Min. 4 yearsJob Description
IN_Associate_Data Engineer_Data & Analytics _Advisory _Pune
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
AssociateJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Design, build, and maintain scalable and reliable data pipelines for batch and real-time data processing on cloud platforms.
Develop, construct, test, and maintain data architectures including databases, data lakes, and large-scale processing systems primarily on cloud environments.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver data solutions leveraging cloud services.
Optimize data workflows for performance, cost, scalability, and security using cloud-native tools and best practices.
Implement and maintain ETL/ELT processes using cloud-based data integration and orchestration tools.
Ensure data quality, integrity, and security across cloud data platforms, working with data governance teams.
Monitor, troubleshoot, and resolve data pipeline issues in cloud environments.
Document data flow architectures, metadata management, and cloud resource configurations.
Required Skills:
Strong experience with SQL and NoSQL databases.
Proficiency in programming languages such as Python, Java, or Scala.
Hands-on experience with big data processing frameworks like Hadoop, Spark, or Kafka.
In-depth knowledge of data warehousing and ETL/ELT design patterns.
Extensive experience with cloud platforms and services such as AWS (e.g., S3, Redshift, Glue, Lambda), Microsoft Azure (e.g., Data Factory, Synapse, Blob Storage), or Google Cloud Platform (e.g., BigQuery, Dataflow, Pub/Sub).
Familiarity with cloud security, governance, and cost management best practices.
Strong understanding of data modeling, data governance, and data quality principles.
Ability to design cloud-native solutions to meet business data needs effectively.
Strong analytical, problem-solving, and communication skills.
Mandatory skill sets:
Data Engineering/Pyspark
Preferred skill sets:
Data Engineering/Pyspark
Years of experience required:
4—8 Years
Education qualification:
B.E.(B.Tech)/M.E/M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Microsoft AzureOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Geopolitical Forecasting, Geopolitical Risk Analysis, Global Macro, Inclusion {+ 19 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
May 26, 2026Job role
Job requirements
About company
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