IN_Manager_Data Engineer_Data and Analytics_Advisory_ Pune

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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

our 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: The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver dashboards, schema, data pipelines, and software solutions. Design, develop, and maintain scalable data pipelines to process and transform large volumes of structured and unstructured data. Build and maintain ETL/ELT workflows for data ingestion from various sources (APIs, databases, files, cloud). Ensure data quality, integrity, and governance across the pipeline. This includes developing, configuring, or modifying data components within various complex business and/or enterprise application solutions in various computing environments.

Responsibilities:

• We are currently seeking Sr data engineer, who can perform data integration to build custom data pipeline, manage data transformation, Performance optimization, Automation, Data Governance & data quality.

Mandatory skill sets:

‘Must have’ knowledge, skills and experiences

• GCP – Dataproc- Pyspark, Spark SQL, Dataflow- Apache beam, Cloud composer, Bigquery, API Management

Preferred skill sets:

‘Good to have’ knowledge, skills and experiences

• Experience in building data pipelines
• Experience in Software lifecycle tools for CI/CD and version control system such as GIT
• Familiarity with Agile methodologies is a plus.

Years of experience required:

Experience and Qualifications

• Experience - 4 Years to 12 years
• NP - Immediate to 30 days
• Location - Hyderabad
• 3 days / week work from client office

Education qualification:

• BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

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

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, 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 {+ 32 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No