AWS Engineer

About the role

We are looking for a highly motivated Data Engineer with 3–4 years of hands-on experience in AWS Databricks to join our data platform team. The role involves working closely with data scientists, analysts, architects, and business stakeholders to design, build, and maintain scalable, high-performance data pipelines and data solutions within the AWS cloud environment.

What you'll do

• Design, develop, test, and deploy scalable ETL/ELT pipelines using AWS Databricks, PySpark, and SQL
• Build and maintain robust data pipelines for ingesting and processing structured and unstructured data from multiple sources such as Amazon S3, Amazon RDS, APIs
• Implement and manage Delta Lake solutions to support both batch and streaming data processing
• Optimize Spark workloads for performance, scalability, and cost efficiency
• Ensure data quality, consistency, reliability, and integrity through validations, monitoring, exception handling, and reconciliation checks

What you need

• 3–4 yrs of experience
• AWS
• CI/CD
• Databricks
• Spark
• SQL
• Redshift
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Data modelling
• ETL
• Reconciliation
• Airflow
• Git