Description

You will design and build scalable data pipelines, data lakes, and warehouses for large-scale data initiatives.

This role is on-site.

Responsibilities

• Develop and maintain cloud-native data platforms and end-to-end pipelines using Python, Java, Scala, and SQL.
• Implement and manage AWS services including S3, EC2, EKS, Glue, SageMaker, Athena, and Redshift.
• Containerize deployments and orchestrate services using Docker and Kubernetes.
• Support LLM-powered solutions, including prompt engineering and Retrieval-Augmented Generation (RAG) workflows.
• Create reports and dashboards using Power BI or Tableau and build API-based microservices.

Required Skills

• 5+ years of experience in data-driven organizations building large-scale data initiatives.
• Strong proficiency in Python, Java, Scala, and SQL.
• In-depth knowledge of AWS services (S3, EC2, EKS, Glue, SageMaker, Athena, Redshift).
• Hands-on experience with Docker and Kubernetes for containerized deployments.
• Experience with databases and warehouses such as Snowflake, Oracle, Starburst Trino, and MSSQL.
• Proficiency in Git, CI/CD workflows, and code reviews.
• Understanding of API solutions and microservices architecture.

Preferred Skills

• Experience with GCP and Azure cloud platforms.
• Knowledge of LLM-powered solutions and prompt engineering.

Referral Bonus: ₹50,000

Key Skills

Education

Any Graduate