Description

You will design and implement scalable data architectures and automated pipelines.

Responsibilities

• Translate business and functional requirements into scalable, operable data architectures.
• Build and implement next-generation data solutions from the ground up.
• Manage AWS resources including S3, Athena, Batch, and Lambda.
• Optimize automated processes for performance, fault tolerance, and ad-hoc analysis support.
• Collaborate with BI Engineers and Software Engineers to deliver high-quality data pipelines.

Required Skills

• 5+ years of data engineering experience.
• Proven experience building ETL pipelines.
• Strong background in data modelling and data warehousing.
• Hands-on experience with AWS, S3, Athena, Batch, and Lambda.
• Ability to make complex data accessible and usable for applications and teams.
• Degree in any field (Any Graduate).

Preferred Skills

• Experience with AWS technologies including Redshift, Glue, EMR, Kinesis, Firehose, and IAM roles.
• Experience with non-relational databases, object storage, document stores, key-value stores, graph databases, or column-family databases.

Key Skills

Education

Any Graduate