IN_Senior Associate_ETL Informatica _D&A _Advisory _Mumbai

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….

Responsibilities:

Mandatory Hands-on Development Experience in ETL tool: Informatica Power center OR IICS (Should be able to demonstrate using of variety of transformations)  -Should have implemented end to end ETL life cycle, preparing ETL design frameworks and execution  -Should have good implementation knowledge of SCD Type 1, SCD Type 2 concepts.  -Should have worked on performance optimization  -Should have experience of understanding workflow Log, error handling etc. 

Mandatory skill sets:

Must have rich experience building Operational Data stores, Data marts and Enterprise Data warehouse  -Must have very good SQL skills (Specifically in Oracle, MySQL)  -Should be able to create and execute ETL designs and test cases should be able to write complex SQL queries for testing/analysis depending upon the functional/technical requirement.  -Should have worked on performance optimization, error handling, writing stored procedures, etc. 

Preferred skill sets:

Demonstrate ability to communicate effectively with both Technical & Business stakeholders  -Should have Understanding of data modelling, Data warehousing concepts 

- Should have worked on performance optimization, error handling, writing stored procedures, etc. 

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 Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Extract Transform Load (ETL)

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, 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

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date