Line of Service
AdvisoryIndustry/Sector
FS X-SectorSpecialism
Data, Analytics & AIManagement Level
Senior 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.*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
Responsibilities:
Hands-on experience building data pipelines on Hadoop/Spark ecosystem
· Strong Spark (Scala and/or PySpark), Hive/Impala SQL, and performance tuning
· Working knowledge of Kafka for streaming ingestion and NiFi (or StreamSets) for batch/near-real-time flows
· Experience with Cloudera Manager, YARN/Tez, HDFS, and job orchestration using Oozie/Airflow
· Good understanding of data warehousing concepts (dimensional modelling, partitioning, bucketing)
· Proficiency in Linux/Unix, Shell scripting, Git, and CI/CD (Jenkins/GitLab CI)
· Strong SQL and data modelling for BFSI use cases (lending, liabilities, risk, regulatory reporting)
· Experience in writing technical design documents (HLD/LLD) and unit/integration testing
· Exposure to SDLC/Agile and working in onsite–offshore model
· Develop robust Spark jobs (batch and streaming) with unit tests and observability
· Implement ingestion patterns (Kafka/NiFi), data quality checks, and job scheduling
· Analyze and tune SQL/Spark for large-scale dataset
Mandatory skill sets:
AWS (EMR, Glue, S3), Azure (HDInsight, Synapse, ADLS), or GCP (Dataproc, BigQuery)
Preferred skill sets:
AWS (EMR, Glue, S3), Azure (HDInsight, Synapse, ADLS), or GCP (Dataproc, BigQuery)
Years of experience required:
4 – 7 yrs
Education qualification:
Btech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Big DataOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
April 17, 2026Want to know if this job is worth applying to?
Maharashtra, India
Onsite