Lead Data Engineer - Data Engineering 4C

3502 Servicios Internacionales De Atencion Al Cliente, Limitada

Chennai

Híbrido

INR 2 500 000 - 3 500 000

Tempo integral

Há 4 dias
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Resumo da oferta

Genpact is seeking a Lead Data Engineer in Chennai to lead a team of data engineers, design scalable data pipelines, and ensure data quality and security in a fast-moving AI-driven environment.

You will mentor junior engineers and collaborate with stakeholders to translate business needs into robust data solutions, leveraging cutting-edge technologies and best practices within Genpact's AI initiatives.

Qualificações

  • Bachelor's or higher in analytics, CS, statistics or data science.
  • Experience leading data engineering teams and projects.
  • Strong knowledge of Big Data, ETL, data quality and security.

Responsabilidades

  • 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.

Conhecimentos

Data Engineering
Cloud Computing
Design Thinking
Executive Presence
People Leadership

Formação académica

Bachelor's in Business Analytics
Bachelor's in Computer Science
Bachelor's in Statistics
Master's in Data Science

Ferramentas

Databricks Platform
Snowflake Platform
Azure Data Engineer
Oracle Database 12c

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
  • 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.
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

Master Skill List

Data Engineering

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

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.

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