IN_Senior Associate _Azure Data Engineer_Data & Analytics_ Advisory_ Bangalore

Bengaluru Milleniasenior

OtherAzure Data Engineer

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Quick Summary

Key Responsibilities

Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources.

Technical Tools

OtherAzure Data Engineer

Advisory

Not Applicable

SAP

Senior Associate

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.

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. "

Responsibilities

~1 min read

→Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources.
→Implement data ingestion, processing, and storage solutions on Azure cloud platform, leveraging services such as Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics.
→Develop and maintain data models, schemas, and metadata to support efficient data access, query performance, and analytics requirements.
→Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability, reliability, and cost-effectiveness.
→Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance.

Requirements

~1 min read

Spark, Pyspark, Azure

B.Tech / M.Tech / MBA / MCA

Not Specified

Nice to Have

~1 min read

Spark, Pyspark, Azure

Azure Data Factory, Databricks Platform, Data Lake, Microsoft Azure, PySpark

4-7

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Budgetary Management, Business Decisions, Communication, Complex Data Analysis, Cost Reduction, Creating Budgets, Creativity, Data-Driven Insights, Data Visualization, Data Visualization Software, Due Diligence Research, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Forecasting, Financial Management, Financial Management Software, Financial Modeling, Financial Planning, Financial Reporting {+ 16 more}