Sr. Data Engineer - Data Engineering 4B

Genpact Ltd.

Bengaluru

On-site

INR 1,500,000 - 2,500,000

Full time

7 days ago
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Job summary

Genpact Ltd. in Bengaluru seeks a Senior Data Engineer to design and build scalable data processing systems.

You will implement and maintain large-scale data pipelines to ingest, process, and store vast data volumes, collaborating with data scientists and analysts to meet data requirements. You will optimize data infrastructure for performance and reliability, troubleshoot data issues, and stay current with big data trends.

Qualifications

  • Bachelor's degree in CS/Analytics/Statistics or related field.
  • Strong experience designing and building data pipelines.
  • Hands-on in big data tooling (Spark/Databricks, Snowflake).
  • Experience with cloud data platforms and ETL processes.
  • Ability to mentor junior data engineers and collaborate with data science teams.

Responsibilities

  • Design and develop scalable data processing systems for large data volumes.
  • Implement and maintain data pipelines to ingest, process, and store data.
  • Optimize data infrastructure for performance and reliability.
  • Collaborate with data scientists and analysts to meet data needs.
  • Troubleshoot data-related issues and stay updated on trends in big data.
  • Mentor junior data engineers on best practices and skills.

Skills

Data pipelines
Big data
Spark
Databricks
Python
SQL
Cloud
ETL
Mentoring

Education

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

Tools

Databricks Platform
Snowflake
Hadoop
Azure Data Factory
Kafka

Job description

Sr. Data EngineerReady 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 DescriptionResponsibilities: Design and develop scalable data processing systems; Implement and maintain data pipelines to ingest, process, and store large volumes of data; Optimize data infrastructure for performance and reliability; Collaborate with data scientists and analysts to understand data requirements and implement appropriate solutions; Troubleshoot and resolve data-related issues in a timely manner; Stay current with emerging technologies and trends in big data engineering; Mentor junior data engineers on best practices and technical skills.QualificationsBachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data ScienceCertificationsAzure Solutions Architect Expert - MicrosoftMicrosoft, Cloudera Certified Professional (CCP) Data Scientist - UpgradUpgrad, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Data Engineer Professional - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoftRequired SkillsAgile 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, Personal Effectiveness, Semiconductors, Snowflake (Platform), Sourcing and Procurement, StorytellingLanguageEnglish (Required)Language Proficiency -Proficient - C2Additional Job Location -Job TypeRegularMaster Skill List -Data EngineeringRemote Type -OfficeWork Shift -Variable (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 progressCome 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.
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