Lead Data Engineer - Data Engineering 4C

Overview

Lead a team of data engineers in developing and implementing Big Data solutions, building scalable data pipelines and ETL processes, and supporting reliable data systems.

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.
• 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.
• 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 at the proficient - C2 level.

Details

• Location: Gurgaon, India.
• Work mode: Hybrid.
• Work shift: Day Job (India).
• Employment type: Regular.