Snowflake Data Engineer

3 weeks ago


india DNA Technology Services Full time

Job Title: Data/Platform Engineer (SNOWFLAKE)

Location: India (Remote)

Experience Required: 7-12 Years


Responsibilities:


  • Design, develop, and maintain data ingestion methods and patterns with tools like Fivetran, Snowflake Snowpipe, and Snowflake Secure Data Share.
  • Build reliable, high-quality software by implementing best practices for full SDLC and CI/CD, using Python, Git, GitHub, and GitHub Actions.
  • Automate infrastructure and workflows with Terraform for Infrastructure as Code (IaC) across all environments.
  • Collaborate closely with cross-functional teams, communicating in both technical and business language to ensure project success.
  • Engineer robust, scalable data pipelines that ensure high data integrity and observability.
  • Leverage AWS services including S3, Lambda, SQS, SNS, API Gateway, and PrivateLink for optimized cloud infrastructure.
  • Manage and enhance Snowflake-based data platforms, including architecture understanding, security design, and performance tuning.
  • Support large structured and semi-structured datasets, including formats like Parquet, Avro, JSON/XML.
  • Optimize queries and maintain database security models, with a focus on RBAC design and administration.


Skills Required:


  • Programming: Strong Python skills; experience with Git/GitHub and CI/CD workflows.
  • Data Engineering: Hands-on experience with data pipeline engineering, data transformation, and ingestion.
  • Infrastructure as Code (IaC): Proficiency in Terraform.
  • Cloud Technologies: Proficient in AWS, including services like S3, Lambda, SQS, SNS, API Gateway, and VPC.
  • Snowflake: Solid understanding of Snowflake architecture, security (RBAC), data transformations, and compute scaling.
  • Data Formats: Proficiency with Parquet, Avro, JSON/XML formats.
  • Orchestration: Experience with Apache Airflow or similar orchestration tools.


Nice-to-Have Skills:

  • Experience with TSQL, query optimization, and data modeling.
  • Exposure to dbt (data build tool) for data transformations.
  • Familiarity with Alation or other Enterprise Metadata Management (EMM) tools.





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