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PwC Service Delivery Center
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Senior Associate_Senior Data Engineer

Senior Associate_Senior Data Engineer

PwC Service Delivery Center

5 - 8 years

20 - 25 Lacs

Bengaluru

Posted:6 hours ago| Platform:

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Skills Required

Performance tuning Automation Data modeling Database administration Agile Apache Teradata Business intelligence SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& 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 decisionmaking 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 purposeled and valuesdriven 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 .

& Summary 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

About the Role We are hiring sharp, handson Data Engineers to build scalable data solutions and drive performance across modern data platforms. If you love writing clean code, solving tough data problems, and automating workflows, this role is for you. What you will do Build and manage highperformance data pipelines for batch and near realtime use cases Write optimized, complex SQL queries and stored procedures for analytics and reporting Develop modular Python scripts for automation, file processing, and data transformation using Pandas/NumPy Optimize queries and scripts over largescale datasets (TBs) with a focus on speed and efficiency Build versioned, testable data models using DBT Orchestrate multistep workflows with Apache Airflow Collaborate across teams to convert data needs into robust technical solutions

Mandatory skill sets

Must have knowledge, skills and experiences 5+ years of handson experience in Data Engineering Strong command over SQL and Python, especially for transformation and automation Deep experience with DBT and Airflow in production environments Solid understanding of ETL/ELT, data modeling, and pipeline performance tuning Strong analytical thinking and debugging skills

Preferred skill sets

Good to have knowledge, skills and experiences Experience with Teradata and Starburst (Presto/Trino) Familiarity with cloud platforms (Azure/GCP/Snowflake) Exposure to onprem to cloud data migrations Knowledge of Gitbased workflows and CI/CD pipelines

Years of experience required

Experience 58 years

Education qualification

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

Education

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

Degrees/Field of Study preferred

Required Skills

Structured Query Language (SQL)

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}

Travel Requirements

Government Clearance Required?

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PwC Service Delivery Center

IT Services and IT Consulting

New York NY

10001 Employees

891 Jobs

Key People

Tim Ryan

U.S. Chairman and Senior Partner
Dawn P. O’Reilly

Chief Operating Officer
Renee J. Smith

Global Leader, Service Delivery Centers

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Senior Associate_Senior Data Engineer