Data Engineer - Snowflake

Position: Snowflake Developer

Experience:

Location:

Employment Type:

About the Role:

Snowflake Developer

Key Responsibilities:

• Design, develop, and optimize

  ETL pipelines

  for ingesting and transforming large-scale data sets into Snowflake.
• Write efficient and complex

  SQL queries

  , stored procedures, and scripts for data validation and transformation.
• Integrate data from multiple sources using modern ETL frameworks and tools.
• Manage and maintain

  Snowflake environments

  , including performance tuning, security, and cost optimization.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
• Ensure data accuracy, integrity, and availability for downstream analytical and reporting systems.
• Work with

  AWS services

  (S3, Lambda, Glue, Redshift, etc.) for data ingestion, transformation, and orchestration.
• Troubleshoot data issues, perform root cause analysis, and implement long-term fixes.

Required Skills & Experience:

• 4–6 years

  of experience in Data Engineering or related roles.
• Strong hands-on experience in

  SQL (Mandatory)

  – complex query writing, optimization, and performance tuning.
• Solid experience with

  Snowflake

  – data modeling, schema design, query performance tuning, and security management.
• Proficiency in

  ETL tools and processes

  for building and automating data pipelines.
• Experience with

  AWS cloud services

  , particularly S3, Glue, Lambda, and Redshift.
• Good understanding of

  data warehousing concepts

  ,

  data governance

  , and

  best practices

  .
• Strong analytical and problem-solving skills with attention to detail.

Nice to Have:

• Experience with

  Python

  or

  PySpark

  for ETL scripting.
• Knowledge of

  CI/CD pipelines

  and version control (Git, Jenkins).
• Familiarity with

  data visualization tools

  (e.g., Power BI, Tableau).

Why Join Us:

• Opportunity to work on enterprise-grade data solutions.
• Collaborative and growth-oriented environment.
• Exposure to modern cloud data technologies and architecture.