Hiring.Camp

Lead Data Engineer - Data Engineering 4C

Genpact

·

Today

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Location
3409-G-LLC: 6737 Southpoint Dr, Jacksonville, FL, United States of America
Workplace
Onsite
Type
Full-time
Department
Engineering
Seniority
Lead
Education
Master
Closing date
Today
Source
Workday

Description

Lead Data Engineer

Ready to turn bold ideas into real-world impact?
 At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
 
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. 
 
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
 Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

Key capabilities and expectations include:

  • Analytics & Problem Solving: Strong analytical and critical-thinking skills to investigate complex business questions, identify trends and opportunities, and translate data into actionable insights and recommendations.
  • Adobe Analytics & Technical Support: 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.
  • Executive Reporting & Storytelling: Ability to develop recurring executive-level reporting and presentations that clearly communicate performance, key insights, business implications, and recommended actions.
  • Communication & Stakeholder Engagement: Excellent verbal and written communication skills, with the ability to understand business needs, simplify complex concepts, and confidently engage technical and business leaders.
  • Operational Ownership & Visibility: Proactively manage day-to-day DVIC analytics activities, priorities, and deliverables while providing leadership with consistent updates on progress, risks, upcoming milestones, and next steps.
  • Independent Execution: A highly organized, detail-oriented self-starter who can translate broad objectives into structured plans, take initiative, and independently deliver high-quality outcomes with minimal oversight.

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle

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

Language

English

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Office

Work Shift -

Day Job (United States of America)

The approximate annual base compensation range for this position is:

60,000 to 75,000 USD

“Los Angeles California-based candidates are not eligible for this role”

The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.

Why join Genpact?
•    Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
•    Make an impact – Help global enterprises solve business challenges that matter 
•    Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
•    Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 
•    Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 
 
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.  
Let’s build tomorrow together. 
 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.  
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. 

Skills

AzureOracleSparkSnowflakeDatabricksData ScienceData EngineeringAgileRisk ManagementProcurement

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