Lead Data Engineer - Data Engineering 4C

Genpact • Jacksonville, FL

7d • $60,000 - $75,000 • Onsite

About The Position

Genpact is seeking a Lead Data Engineer to support analytics activities and deliver data-driven insights. The role calls for strong analytical and critical-thinking skills to investigate business questions, identify trends and opportunities, and translate data into actionable recommendations. It includes hands-on Adobe Analytics expertise across web and mobile app platforms, supporting implementation and tagging, requirements development, data validation and quality monitoring, troubleshooting, and performance analysis.

The position develops recurring executive-level reports and presentations that communicate performance, insights, business implications, and recommended actions. The role also manages day-to-day DVIC analytics activities, priorities, and deliverables, keeping leadership informed about progress, risks, milestones, and next steps. The successful candidate will independently turn broad objectives into organized plans and deliver high-quality work with minimal oversight while engaging technical and business stakeholders.

This is a regular, office-based day-shift role. The listed annual base compensation range is $60,000 to $75,000. Los Angeles, California-based candidates are not eligible. Actual compensation depends on factors including experience, skills, geographic location, and internal equity.

Requirements

• Strong analytical and critical-thinking skills.
• Hands-on expertise in Adobe Analytics across web and mobile app platforms, including implementation and tagging support, requirements development, data validation and quality monitoring, troubleshooting, and performance analysis.
• Ability to develop executive-level reporting and presentations that clearly communicate insights and recommendations.
• Excellent verbal and written communication skills.
• Ability to understand business needs, simplify complex concepts, and engage technical and business leaders.
• Highly organized, detail-oriented, proactive self-starter able to deliver with minimal oversight.
• English language proficiency: Proficient (C2).
• Required skills listed: 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, and Storytelling.

Nice To Haves

• Bachelor’s degree in Business Analytics, Computer Science, or Statistics, or a Master’s degree in Data Science.
• Certified Data Management Professional – Riversand.
• Databricks Certified Associate Developer for Apache Spark 3.0.
• Databricks Certified Associate Developer for Apache Spark.
• Microsoft Certified: Azure Data Engineer Associate.
• Oracle Database 12c Certified Implementation Specialist.

Responsibilities

• Investigate complex business questions, identify trends and opportunities, and translate data into actionable insights and recommendations.
• Provide Adobe Analytics implementation and tagging support across web and mobile app platforms.
• Develop requirements and perform data validation, quality monitoring, troubleshooting, and performance analysis.
• Create recurring executive-level reports and presentations communicating performance, insights, business implications, and recommended actions.
• Manage day-to-day DVIC analytics activities, priorities, and deliverables.
• Provide leadership with updates on progress, risks, upcoming milestones, and next steps.
• Translate broad objectives into structured plans and independently deliver high-quality outcomes with minimal oversight.
• Engage technical and business leaders to understand needs and communicate complex concepts clearly.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior