Sr. Data Engineer 4B

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

We are looking for a savvy ETL Developer/ Data Engineer to join our team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing existing data systems and building them from the ground up.

PRIMARY DUTIES/RESPONSIBILITIES:

- Maintain and provide enhancements to data architecture within new/existing systems including Data Warehouse.

- Recommend and implement processes to improve data quality, data reliability, and database performance.

- Employ variety of ETL and integration tools for system and data integrations.

- Architect solutions that support data scientist and business stakeholders.

- Conduct ETL testing and data transformation testing.

- Develop data models for data science team that can be utilized for data mining.

- Maintain source to target documentation and process flow documentation.

- Take on DBMS responsibilities and wear multiple hats such as: ETL’s, serve as SQL Server DBA – Processes/Job/Error Handling/Troubleshooting/Scheduling, etc.

- Proactively monitor ETL Processes / Jobs

EXPERIENCE:

• Relevant hands-on work experience in a Datawarehouse testing role.

• ETL (Extract Transform Load)/ODS (Operational Data Store) experience.

• MS SQL Server

• Commercial Real Estate experience preferred.

EDUCATION:

• Bachelor’s degree in computer science or information technology from an accredited institution

SKILLS:

MUST HAVE

• ETL Tools: SSIS , Azure Data Factory (ADF) including API source exposure.,

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. (SQL) and working knowledge of Azure.

• Proficient in Azure Managed MS SQL Server database including setting indexes, database security, and backups.

• Data Testing:

• Fundamental knowledge of data warehouse concepts

• Data Warehouse testing:

• Experience in data duality, source systems analysis, and business rules validation.

• Ability to write and understand Source to Target documentation.

• Detail oriented and meticulous approach to duties.

• Keep our data separated and secure. Familiarity with data and cybersecurity.

• Good analytical skills.

• A knack for independent and group work.

• Capacity to successfully manage a pipeline of duties with minimal supervision.

GOOD TO HAVE:

• ZappySys

• C#

• Microsoft Fabric –

• Azure Logic App, Azure Function

Qualifications

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

Certifications

Azure Solutions Architect Expert - Microsoft, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy, Databricks Certified Data Engineer Professional - Databricks Academy, Microsoft Certified: Azure Data Engineer Associate - Microsoft

Required Skills

Cloud Platform, Data Engineering, Data ETL, Data Integration, Data Warehousing (DW)

Language

English (Required)

Language Proficiency -

English (OVERALL - Proficient - C2)

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Office

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.