Description

You will design and maintain scalable analytics platforms and data infrastructure for ad hoc access to large datasets. This role involves managing AWS resources, automating reporting processes, and collaborating with BI and Data Science teams.

This role is on-site.

Responsibilities

• Design, implement, and support analytical data infrastructure for large-scale datasets.
• Manage AWS resources including EC2, RDS, and Redshift.
• Extract, transform, and load data from diverse sources using SQL and AWS big data technologies.
• Collaborate with BI Engineers and Data Scientists to implement advanced analytics and machine learning models.
• Automate and simplify reporting and analysis processes to improve self-service support.

Required Skills

• 5+ years of experience in data engineering.
• Deep expertise in SQL and data modeling.
• Hands-on experience with AWS technologies: Redshift, RDS, S3, EMR, Glue, ADP, Hive, Kinesis, SNS/SQS.
• Proven ability to manage and create data lakes.
• Experience building efficient, scalable data infrastructure and data models.
• Ability to work with large, complex datasets to solve ambiguous business questions.

Preferred Skills

• Experience with client/LLM models integration.

Education: Any Graduate degree.

Key Skills

Education

Any Graduate