Sr. Data Engineer - Data Engineering 4B

Overview

Design, build, and scale core data infrastructure by transforming raw information into clean, reliable assets for analytics and AI.

What you'll do

• Build and maintain scalable ETL or ELT workflows to move data safely from source systems to cloud storage.
• Design high-performance analytical schemas using modern cloud data stacks such as data lakes, warehouses, or lakehouses.
• Implement automated testing, lineage tracking, and security controls to ensure data accuracy and compliance.
• Monitor cloud computing resources to make queries faster and reduce operational expenses.
• Mentor junior engineers.
• Review code.
• Translate complex business needs into technical solutions.

What you'll need

• Advanced SQL.
• Production-grade Python or Scala.
• Hands-on experience with AWS, Azure, and modern tools like Databricks.
• Proficiency with workflow managers like Apache Airflow or Azure Data Factory.
• Proficiency with transformation tools like dbt.
• Relevant data engineering background.
• A Bachelor's degree in Business Analytics, Computer Science, or Statistics, or a Master's degree in Data Science.
• Agile Methodology.
• Client Relations.
• Collaboration Tools.
• Consumer Packaged Goods (CPG).
• Databricks Platform.
• Data Engineering.
• Data Literacy.
• Data Modeling.
• Design Thinking.
• English Language Proficiency at the Proficient - C2 level.

Nice to have

• Azure Solutions Architect Expert certification from Microsoft.
• Cloudera Certified Professional (CCP) Data Scientist certification from Upgrad.
• Databricks Certified Associate Developer for Apache Spark 3.0 certification from Databricks Academy.
• Databricks Certified Data Engineer Professional certification from Databricks Academy.
• Microsoft Certified: Azure Data Engineer Associate certification from Microsoft.

Details

• Location: Hyderabad, India.
• Office work.
• Regular employment.
• Flex Time (India) work shift.