Senior Data Engineer Snowflake

While technology is the heart of our business a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency diversity integrity learning and growth.


If working in an environment that encourages you to innovate and excel not just in professional but personal life interests you- you would enjoy your career with Quantiphi!

Job Role : Senior Data Engineer (AWS Snowflake Migrations)
Location : Mumbai/Bangalore
Experience : 4-7 Years

• 4 years of hands-on experience in data engineering building and maintaining large-scale data platforms and pipelines on Snowflake

• Strong SQL expertise including complex analytical queries window functions stored procedures and schema design

• Proficiency in Spark/PySpark and Python for data processing transformation and automation.

• Solid understanding of data modeling schema design partitioning strategies and file formats (Parquet ORC Avro).

• Experience with batch and streaming data pipelines ETL/ELT frameworks and orchestration tools.

• Experience with Snowflake SnowConvert AI for automated code conversion and migration of legacy SQL stored procedures ETL scripts and database objects from platforms such as Teradata Oracle Hive or Spark to Snowflake-compatible SQL.

• Familiarity with multi-layer data architectures (Bronze/Silver/Gold medallion pattern)

• Experience with Snowflake core capabilities including Snowflake Procedures UDFs Streams Tasks Dynamic Tables and Snowpipe for continuous data ingestion.

• Hands-on experience with Snowflake performance optimization clustering keys materialized views query profiling resource monitors and warehouse sizing strategies.

• Working knowledge of Snowflake security and governance features Role-Based Access Control (RBAC) data masking row access policies and tagging.

• Experience with Snowflakes data sharing and collaboration features including Secure Data Sharing Snowflake Marketplace and cross-region replication.

• Familiarity with Snowflake Cortex for AI/ML functions and Snowpark for building data pipelines in Python Java or Scala natively within Snowflake.

• Knowledge of data warehousing concepts dimensional modeling and slowly changing dimensions.

• Strong SDLC practices including Git version control branching strategies code reviews and release management processes

• Experience with monitoring logging alerting and observability frameworks for data pipelines.

• Strong troubleshooting debugging and production support capabilities.

• Highly experienced in the use of AI / LLMs to accelerate data engineering work (e.g. Snowflake CoCo Kiro GitHub Copilot Cursor or similar GenAI-assisted development tools).

• Excellent communication problem-solving and stakeholder management skills.

• Snowflake SnowPro Core Certification required advanced certifications a plus.

• Experience with Snowflake capabilities (Procedures UDFs Streams Tasks Cortex) and dbt for data transformation

• SQL expertise across legacy platforms such as Hive or Impala alongside Snowflake

• Experience with Snowpark or Snowflake migration tooling

• Familiarity with migration accelerators and remediation workflows

• Disciplined approach to data validation reconciliation and defect triage across source and target systems during migration

• Experience with cloud data platforms such as AWS (S3 Glue Redshift EMR Lambda) and their integration with Snowflake

• Experience with CI/CD pipelines for data engineering (e.g. Jenkins GitHub Actions GitLab CI)

• Strong environment and dependency troubleshooting skills

• Experience with data pipelines and orchestration in hybrid or multi-cloud environments

• Terraform or Infrastructure as Code (IaC) experience

• Familiarity with Kafka Iceberg Delta Lake or other modern streaming/lakehouse technologies

• Understanding of data governance data cataloging and metadata management practices