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Snowflake Developer

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Onsite

Snowflake Developer

Zorba Consulting

Snowflake Developer

Skills

SQL QueriesData EngineeringPythonTesting & QASnowflakeAWSdbtOracle

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

27 August 2026

What they need


  • We are looking for an experienced Snowflake Developer to design, develop, and optimize scalable cloud data warehouse solutions.
  • The ideal candidate should have strong hands-on expertise in Snowflake, SQL, ETL/ELT, AWS S3, and data migration, with good understanding of modern data engineering practices.

Key Responsibilities

  • Design and develop Snowflake databases, schemas, tables, views, stages, file formats, stored procedures, and tasks.
  • Develop complex SQL queries, transformations, and data models for enterprise data platforms.
  • Build batch and incremental data pipelines using COPY INTO, Snowpipe, Streams, and Tasks.
  • Implement CDC and SCD Type 1/Type 2 solutions for incremental data processing.
  • Integrate Snowflake with AWS S3 and other source/target systems.
  • Perform data migration from Oracle/SQL Server or other RDBMS to Snowflake.
  • Implement data validation, reconciliation, cleansing, and quality checks.
  • Optimize Snowflake query performance, virtual warehouse utilization, clustering, and micro-partitioning.
  • Utilize Snowflake features including Time Travel, Zero-Copy Cloning, Data Sharing, Secure Views, and masking policies.
  • Develop and maintain ETL/ELT workflows using tools such as dbt, Informatica, Matillion, or similar platforms.
  • Write Python/Shell scripts for automation, validation, and operational activities.
  • Participate in unit testing, deployment, troubleshooting, production support, and documentation.
  • Collaborate with business analysts, architects, QA, and engineering teams to translate requirements into scalable solutions.

Required Skills

  • 4-8 years of IT experience with strong hands-on Snowflake development.
  • Excellent SQL and data warehousing knowledge.
  • Strong experience with AWS S3, Snowpipe, Streams, Tasks, CDC, and ETL/ELT.
  • Experience with data migration and performance tuning.
  • Good exposure to Python and dbt.
  • Strong understanding of dimensional modeling, Star/Snowflake schemas, and SCD.
  • Good communication, analytical, and problem-solving skills.

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