Snowflake Data Engineer

Job Summary:

We are seeking a highly skilled Data Engineer to design, build, and optimize scalable data pipelines using Snowflake, AWS services, and Apache Spark. You will be responsible for real-time and batch data ingestion, transformation, and orchestration across cloud platforms.

Key Responsibilities:

• Develop and maintain data pipelines using

  AWS Glue

  ,

  Lambda

  ,

  EMR

  , and

  Snowflake

  .
• Implement real-time ingestion using

  Snowpipe

  and

  Streams

  for CDC (Change Data Capture).
• Write efficient

  PySpark

  or

  Scala Spark

  jobs for large-scale data processing.
• Automate workflows and orchestrate jobs using

  AWS Step Functions

  ,

  Airflow

  , or similar tools.
• Optimize Snowflake queries and warehouse performance.
• Collaborate with Data Scientists, Analysts, and DevOps teams to deliver reliable data solutions.
• Monitor and troubleshoot data pipeline failures and latency issues.

Required Skills:

• Strong experience with

  Snowflake

  architecture, SQL, and performance tuning.
• Hands-on expertise in

  AWS Glue

  ,

  Lambda

  ,

  S3

  ,

  EMR

  , and

  CloudWatch

  .
• Proficiency in

  Apache Spark

  (PySpark or Scala).
• Familiarity with

  Snowpipe

  ,

  Streams

  , and

  Tasks

  in Snowflake.
• Knowledge of CI/CD tools and infrastructure-as-code (Terraform, CloudFormation).
• Experience with version control (Git) and agile development practices.