Sr. Data Engineer - Data Engineering 4B
BrightClaim Chennai, Tamil Nadu, India
Business Consulting and Services · 10,001+ employees
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About the role
Develop and maintain data models using DBT while designing efficient ETL/ELT pipelines to ingest data into Snowflake. Collaborate with cross-functional teams to ensure data quality, integrity, and scalable deployment through CI/CD and orchestration tools.
What they look for
Requirements
Requires strong expertise in SQL, Snowflake, and DBT for data transformation and pipeline management. Candidates should have a background in data warehousing, dimensional modeling, and experience with cloud platforms like AWS.
Full description
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
A Snowflake + DBT professional typically focuses on building, transforming, and managing data pipelines in the cloud while leveraging SQL-based modeling in DBT and Snowflake’s cloud data warehouse capabilities.
Key Responsibilities
- Data Modeling and Transformation: Develop and maintain data models using DBT to clean, transform, and structure data efficiently inside Snowflake.
- ETL/ELT Pipeline Design: Design and implement ETL/ELT pipelines to ingest data from sources such as APIs, data lakes, and on-premise systems into Snowflake.
- SQL Development: Write efficient SQL queries for data extraction, transformation, and analysis.
- Data Quality and Testing: Ensure robust data validation, integrity checks, and testing of DBT models and Snowflake data objects.
- Collaboration with Teams: Work closely with data engineers, analysts, and architects to understand business requirements, and provide scalable data solutions.
- Automation and Deployment: Use CI/CD pipelines for DBT project deployment and manage scheduling via orchestration tools like Airflow.
Required Skills
- Strong SQL expertise and familiarity with Snowflake-specific SQL (SnowSQL).
- Hands-on experience with DBT (Data Build Tool) for data transformation and model management.
- Familiarity with cloud platforms, commonly AWS, for integrated workflows.
- Knowledge of data warehousing concepts, dimensional modeling, and star/snowflake schemas.
- Experience with orchestration tools like Apache Airflow is often preferred.
- Optional but beneficial: Python, version control with Git, and understanding of data governance.
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
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, Personal Effectiveness, Semiconductors, 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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