Description

You will design and build scalable data architectures and processing frameworks for self-service analytics.

Responsibilities

• Build and maintain batch and real-time data pipelines.
• Design and develop ETL frameworks for data processing.
• Perform data modeling using cloud-based platforms like Redshift, Snowflake, or Databricks.
• Write production-grade Python and SQL code for data analysis and processing.
• Create reusable data sources and dashboards to support self-service analytics.

Required Skills

• 6+ years of hands-on data engineering experience.
• Expertise with AWS services including S3, Redshift, EMR, Glue, Kinesis, and DynamoDB.
• Proficiency in Python and SQL.
• Experience with data modeling on cloud platforms such as Redshift, Snowflake, or Databricks.
• Knowledge of AWS Athena, Data Lake, and Lakehouse architectures.
• Experience with SQL Server.
• Degree in any graduate field.

Preferred Skills

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

Key Skills

Education

Any Graduate