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PwC Service Delivery Center
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Manager_Data Engineer

Manager_Data Engineer

PwC Service Delivery Center

5 - 8 years

11 - 12 Lacs

Bengaluru

Posted:1 week 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

& Summary

.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

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.

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 Bachelor of Engineering, Master of Business Administration, Bachelor of Technology, Master of Engineering

Degrees/Field of Study preferred

Required Skills

Data Engineering, Python (Programming Language), 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, 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}

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Manager_Data Engineer