Big Data Manager - Data & Analytics

IN_Manager_Big Data _Data & Analytics _Advisory _Mumbai

Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Data, Analytics & AI

Management Level

Manager

Job 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: 

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 

· Location - Mumbai 

· Own end-to-end data solution design, capacity planning, and release governance on Cloudera 

· Stakeholder management with Business, Risk, and InfoSec; effort estimation and planning 

· Optimize cluster resources, manage queues, and enforce security/governance (Ranger, Atlas 

Mandatory skill sets: 

 Experience with Cloudera Data Platform (CDP) Private Cloud Base/Public Cloud 

· Security and governance: Apache Ranger, Atlas; Kerberos; Sentry (legacy) 

· Cloud data services – AWS (EMR, Glue, S3), Azure (HDInsight, Synapse, ADLS), or GCP (Dataproc, BigQuery) 

Preferred skill sets: 

 Cloudera Data Platform (CDP), AWS, Azure or GCP 

Years of experience required: 

 7 – 10 yrs 

Education qualification: 

Btech/MBA/MCA 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Big Data

Optional 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, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

April 13, 2026

Experience Level

Mid Level