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Salary
$17k – $33k per year (Estimated)
Location
Remote/Hybrid (Hyderabad, India)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Genpact is a global professional services, technology, and business process transformation firm headquartered in New York City. Originally founded in 1997 as a business unit within General Electric (GE) and spun off as an independent public company in 2005 (NYSE: G), Genpact runs and transforms complex operations for hundreds of Fortune 500 enterprises.
Sr. 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

Role overview:

Own end-to-end SQL solutions: optimize performance, migrate business processes into SQL, manage databases, and deliver analytical reporting-supported by advanced Excel for fast, reliable insights.

Responsibilities

· Develop, optimize, and maintain SQL queries, stored procedures, and functions.

· Strong expertise in T-SQL, query optimization, indexing, and execution plans.

· Convert manual/Excel-based workflows into SQL-driven processes.

· Strong practical knowledge of advanced SQL functions, leveraging enhancements in current release

· Design scalable schemas and automate recurring tasks.

· Must have good experience in testing and troubleshooting database issues

· Collaborate with business teams to translate requirements into technical solutions.

· Use advanced Excel (pivot tables, Power Query, Vlookup..etc.) for reporting and data analysis.

· Document database architecture, design decisions, and operational procedures to promote knowledge sharing within the team

· Present findings and insights to stakeholders in a clear, cosncise manner.

· Proven, practical experience working with ETL tools

· Ensure data accuracy, integrity, and compliance with organizational standards.

· Must have knowledge of designing Data model (Star / Snowflake Schema)

· Knowledge of data warehousing concepts is a plus.

Minimum qualifications

  • 4-7 years with SQL Server, strong T-SQL, normalization, indexing, partitioning, performance tuning.
  • Proven delivery converting business processes from Excel/legacy scripts into SQL-driven pipelines.
  • Advance Excel skills (Power Query, pivots, formulas; data connections to SQL)
  • Knowledge of ETL tools and data warehousing concepts is a plus.
  • Strong problem-solving and communication skills

Preferred qualifications

· Knowledge of AWS, Power BI or QlikSense

Qualifications

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

Certifications

Azure 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 - MicrosoftMicrosoft

Required Skills

Cloud Computing, Collaboration Tools, Data Engineering, Data Literacy, Design Thinking, Inclusion, Personal Effectiveness, 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 -

Hybrid

Work Shift -

Day Job (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.
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