Description

Snowflake Data Engineer - 4B

Primary Responsibilities

Data Engineering & Development

•Develop and maintain Snowflake data pipelines, ELT processes, and data transformation logic.

• Build and optimize SQL-based data models, views, stored procedures, tasks, and streams in Snowflake.

• Develop data ingestion frameworks using Snowpipe, external stages, and cloud storage integrations.

• Support development of ETL/ELT solutions using Python, Snowpark, and orchestration tools.

• Collaborate with business analysts and data consumers to understand reporting and analytics requirements.

• Perform data validation, reconciliation, and quality checks across source and target systems.

• Monitor pipeline executions and troubleshoot data processing issues.

Data Platform Support

• Support Snowflake environment administration activities including access provisioning and object management.

• Implement and maintain development standards, naming conventions, and coding best practices.

• Assist in performance tuning of SQL queries and Snowflake workloads.

• Participate in release deployments and production support activities.

Secondary Responsibilities

• Maintain technical documentation, mapping documents, and operational runbooks.

• Assist in metadata management and data lineage documentation.

• Support data governance initiatives and compliance requirements.

• Participate in on-call support and incident resolution activities.

• Evaluate new Snowflake features and assist in proof-of-concept activities.

Required Skills & Experience

• 4-7 years of Data Engineering experience.

• 2+ years of hands-on Snowflake experience.





• Strong SQL development skills.

• Experience with Python and Snowpark.

• Experience with cloud storage platforms (Azure Blob Storage, ADLS, AWS S3).

• Familiarity with Azure Data Factory, Airflow, or similar orchestration tools.

• Understanding of dimensional modeling and data warehousing concepts.

• Knowledge of Git and Dev Ops practices.

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

Apache Kafka, Apache Spark, Cloud Platform, Databricks Platform, Data Engineering, Data ETL, Data Integration, Data Quality, Data Stream, Data Warehousing (DW), Docker (Software), Git, Kubernetes, Performance Optimizations, Process Orchestration, Python (Programming Language), Quality Assurance (QA), Snowflake (Platform), System Performance Monitoring

Language

English

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Remote

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 Prospect 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.

📌 Sr. Data Engineer 4B (India)
🏢 1401 Genpact India
📍 India