IN_Senior Associate_ Data engineer-SQL Dev.__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: - We are looking for a highly skilled and experienced Senior Consultant – SQL Developer / Data Engineer to join our data engineering team. The ideal candidate should have deep expertise in SQL development, data modeling, ETL pipeline design, and data integration, with a strong focus on performance optimization and scalable architecture. You will work closely with stakeholders to deliver robust data solutions that enable analytics and business intelligence capabilities.

Responsibilities:

- Design, develop, and maintain complex SQL queries, stored procedures, functions, and views. -Build, optimize, and manage ETL pipelines to support data ingestion from multiple sources. -Collaborate with cross-functional teams to gather and analyze data requirements. -Create and maintain data models, data dictionaries, and technical documentation. -Ensure data integrity, security, and quality across systems. -Tune SQL queries for performance and scalability. -Develop and implement data validation and quality checks. -Participate in code reviews, testing, and deployment processes. -Mentor junior developers and contribute to best practices in data engineering.

Mandatory skill sets:

-Strong experience in SQL development (preferably on platforms like MS SQL Server, PostgreSQL, Oracle, etc.) -Proficient in building and maintaining ETL processes using tools such as SSIS, Talend, Informatica, Azure Data Factory, or custom scripts (Python/Scala). -Solid understanding of data warehousing concepts, dimensional modeling, and relational databases. -Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, Azure Data Factory).

Preferred skill sets:

Experience working with cloud data platforms like Azure, AWS, or GCP is a plus. -Familiarity with version control (Git) and CI/CD processes. -Strong problem-solving and communication skills.

Years of experience required:

-4 to 8 years' experience in Data Engineer. -Strong experience in SQL development (preferably on platforms like MS SQL Server, PostgreSQL, Oracle, etc.)

Education qualification:

-Ph.D/ M.Sc. / M.Stat/ MS (Statistics / Mathematics/ Economics/ Computer Science or ML/DL focus) -B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) -MBA with ML/DL Focus.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Extract Transform Load (ETL), Structured Query Language (SQL) Development

Optional Skills
Amazon Web Services (AWS), Microsoft Azure

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date