Description

You will design and maintain batch and real-time data pipelines on AWS.

Responsibilities

• Build and optimize ETL frameworks for large-scale data processing.
• Develop data pipelines using Python and SQL within AWS environments.
• Implement data modeling strategies on Redshift, Snowflake, or Databricks.
• Create reusable data sources and dashboards to enable self-service analytics.

Required Skills

• 6+ years of hands-on data engineering experience.
• Expertise with AWS services: S3, Redshift, EMR, Glue, Kinesis, Athena, and DynamoDB.
• Proficiency in Python and SQL for data processing and analysis.
• Experience with Data Lake and Lakehouse architectures.
• Strong data modeling skills using cloud-based platforms.
• Hands-on experience with SQL Server.
• Degree in any discipline.

Preferred Skills

• Experience with ETL tools such as Informatica, Talend, or Fivetran.
• Experience using Databricks for Spark workloads or Snowflake.
• Knowledge of Big Data processing, CI/CD setup, or Infrastructure-as-Code.

Key Skills

Education

Any Graduate