Lead Data Engineer - Data Engineering 4C

BrightClaim; Mumbai; Híbrido; INR 1 500 000 - 2 100 000; Tempo integral

Resumo da oferta

Genpact in Mumbai is seeking a Lead Data Engineer to guide a team of data engineers and drive Big Data initiatives across the organization.

You will design scalable data pipelines, ensure data quality and security, and collaborate with stakeholders to translate business needs into robust data solutions.

This role offers hybrid work, exposure to cutting-edge AI and data engineering technologies, and opportunities for mentorship and career growth.

Qualificações

• Bachelors in Business Analytics, CS or Statistics; Masters in Data Science.
• Certifications welcomed and considered.
• Industry experience in data engineering preferred.

Responsabilidades

• Lead a team of data engineers to develop Big Data solutions.
• Design and build scalable data pipelines and ETL processes.
• Ensure data quality, integrity and security across systems.
• Collaborate with stakeholders to translate business needs into data solutions.
• Provide mentorship to junior team members.
• Stay updated on Big Data trends and technologies.
• Analyze data and troubleshoot performance issues.
• Develop and maintain documentation for data processes and infrastructure.

Conhecimentos

Agile Methodology

Client Relations

Cloud Computing

Collaboration Tools

Data Literacy

Executive Presence

People Leadership

Risk Management

Storytelling

Formação académica

Bachelors - Business Analytics

Bachelors - Computer Science

Bachelors - Statistics

Masters - Data Science

Ferramentas

Databricks Platform

Snowflake Platform

Azure Data Services

Descrição da oferta de emprego

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

Responsibilities: 1. Lead a team of data engineers in developing and implementing Big Data solutions; 2. Design and build scalable and reliable data pipelines and ETL processes; 3. Ensure data quality, integrity, and security across all data systems; 4. Collaborate with stakeholders to understand and address business requirements; 5. Provide technical guidance and mentorship to junior team members; 6. Stay current with industry trends and technologies related to Big Data and data engineering; 7. Perform data analysis and troubleshooting to optimize system performance and efficiency; 8. Develop and maintain documentation for data processes, systems, and infrastructure.

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

Job Type

Regular

Remote Type

Hybrid

Work Shift

Flex Time (India)

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.