Description

You will design and implement large-scale data engineering solutions and ETL/ELT pipelines across multi-terabyte SQL and NoSQL environments.

Responsibilities

• Design and develop ETL/ELT pipelines for multi-terabyte SQL and NoSQL databases.
• Architect data warehouse environments and cloud-based data platforms.
• Build serverless applications on AWS using services like Athena, Glue, EC2, Lambda, and Kinesis.
• Solve complex data challenges involving ambiguous and evolving requirements.
• Model data architectures using relational and NoSQL database technologies.

Required Skills

• 10+ years of experience creating data engineering solutions and ETL/ELT pipelines.
• 8+ years of experience in data, analytics, AI/ML, business intelligence, and data warehouse platforms.
• 5+ years of experience as a Solution or Data Architect on cloud platforms, preferably AWS.
• 5+ years of experience in database architecture using relational SQL (Oracle, PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB, Elasticsearch).
• 4+ years of experience with ETL/ELT design and development using Talend, Informatica, AWS Glue, or ODI.
• 4+ years of experience programming in Node.js, Python, Java, or Scala.
• 4+ years of experience solutioning in AWS leveraging multiple services for large-scale data processing.
• 3+ years of experience building serverless architectures on AWS.
• 2+ years of experience with large-scale data processing platforms like Spark, EMR, or HPC computing.
• 2+ years of experience modeling solutions with Vizio, Draw.io, or Miro.
• Experience with RESTful APIs and service-oriented architectures.

Preferred Skills

• AWS Solution Architect certification (Associate level or above).
• Experience with DevOps, CI/CD technologies.
• Healthcare domain knowledge.

Key Skills

Education

Any Gradute