Senior Associate - Data and Analytics Engineering

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

13 days ago
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Job summary

PwC is hiring a Senior Associate for Azure Data and Analytics Advisory in Bengaluru. You will design and build robust data pipelines, integrate data sources, and transform data into actionable insights for clients.

The role emphasizes data infrastructure, processing, and analytics, with a focus on leveraging cutting-edge tech to enable smarter decision making. The position requires 5–8 years of experience in data engineering, strong SQL and Python/Scala skills, and familiarity with AWS, Spark,

Qualifications

  • Bachelor of Technology degree required.
  • 5–8 years of experience in data engineering roles.
  • Experience with big data ecosystems and cloud platforms required.

Responsibilities

  • Develop and implement data pipelines and transformations.
  • Work with data infrastructure to enable efficient processing and analytics.
  • Collaborate with advisory teams to deliver data solutions for clients.
  • Utilize Spark, Python/Scala, and SQL to build scalable data solutions.
  • Implement CI/CD practices for data engineering workflows.

Skills

Big Data
AWS
SQL
Python/Scala
Spark
S3
Glue
EMR
Aurora PostGres
Lambda
Kinesis
Kafka
Airflow
DBT
Flink
Apache Iceberg
Datadog
Scala
Python
NIFI

Education

Bachelor of Technology

Tools

Databricks
Snowflake
Apache Airflow

Job description

IN_Senior Associate_ Azure_Data and Analytics_Advisory_Bangalore Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate

Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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.

Job Description & Summary: A career within…. A career within Data and Analytics 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
  • Working knowledge on big data technologies , Cloud AWS
  • Excellent working knowledge on SQL
  • Proficient with spark and any one or both programming language e.g. Scala and/or Python
  • Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog
  • Experience with snowflake will be a big positive
  • Experience with CI/CD framework implementation in conjunction with any popular code repository like Github
Mandatory skill sets
  • Big Data
  • AWS
  • SQL
  • Python/Scala
  • Spark
  • S3
  • Glue
  • EMR
  • Aurora PostGres
  • Lambda
  • Kinesis
  • kafka
  • Airflow
  • DBT
  • Flink
  • Apache Iceberg
  • Datadog
  • Scala
  • Python
  • NIFI
  • SQL
Preferred skill sets
  • Snowflake

Years of experience required: 5-8yrs

Education qualification: B.Tech / M.Tech / M.E / MCA/B.E Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)

Required Skills
  • Microsoft Azure
Optional Skills
  • Accepting Feedback
  • Accepting Feedback
  • Active Listening
  • Agile Scalability
  • Amazon Web Services (AWS)
  • Analytical Thinking
  • Apache Airflow
  • Apache Hadoop
  • Azure Data Factory
  • Communication
  • Creativity
  • Data Anonymization
  • Data Architecture Development
  • Database Administration
  • Database Management System (DBMS)
  • Database Optimization
  • Database Security Best Practices
  • Databricks Unified Data Analytics Platform
  • Data Engineering
  • Data Engineering Platforms
  • Data Infrastructure
  • Data Integration
  • Data Lake
  • Data Modeling
  • Data Pipeline {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date September 14, 2026

Experience Level Senior Level

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