Lead Data Engineer - Data Engineering 4C

Overview

Lead a team of data engineers in building and deploying Big Data solutions, including scalable data pipelines and ETL processes.

What you'll do

• Lead a team of data engineers in developing and implementing Big Data solutions.
• Design and build scalable and reliable data pipelines and ETL processes.
• Ensure data quality, integrity, and security across all data systems.
• Collaborate with stakeholders to understand and address business requirements.
• Provide technical guidance and mentorship to junior team members.
• Stay current with industry trends and technologies related to Big Data and data engineering.
• Perform data analysis and troubleshooting to optimize system performance and efficiency.
• Develop and maintain documentation for data processes, systems, and infrastructure.

What you'll need

• Bachelor's degree in Business Analytics, Computer Science, or Statistics, or Master's degree in Data Science.
• Certified Data Management Professional (Riversand).
• Databricks Certified Associate Developer for Apache Spark 3.0 (Databricks Academy).
• Databricks Certified Associate Developer for Apache Spark (Databricks Academy).
• Microsoft Certified: Azure Data Engineer Associate (Microsoft).
• Oracle Database 12c Certified Implementation Specialist (Oracle).
• Required skills: Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, People Leadership, Personal Effectiveness, Risk Management, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling.
• English language proficiency: Proficient (C2).

Details

• Location: 1401-GIPL: Prestige Technology Park IV, Bangalore.
• Work mode: Hybrid.
• Work shift: Flex Time (India).
• Job type: Regular.