Description

You will design and maintain end-to-end data and analytics solutions for applications and products across multiple projects.

Responsibilities

• Create and maintain data and analytics solutions while establishing standard patterns through Proof of Concepts.
• Translate business requirements into technical architectures using AWS services and open source tools.
• Establish enterprise-level guidelines for Data Security, Master Data Management, and Reference Data Management.
• Partner with engineering, product, and operations teams to build scalable, feasible solutions.
• Diagnose and resolve complex performance and scaling issues to meet business initiatives.

Required Skills

• 10+ years of experience in data engineering, ETL/ELT pipelines, and multi-terabyte SQL/NoSQL environments.
• 5+ years of experience as a Data Solution Architect on AWS Cloud.
• 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 using Talend, Informatica, AWS Glue, or Oracle Data Integrator.
• 4+ years of experience with Node.js, Python, Java, or Scala.
• 4+ years of experience solutioning in AWS leveraging services for large-scale data storage and processing.
• 3+ years of experience building serverless architectures on AWS using Athena, Glue, EC2, Lambda, or Kinesis.
• 2+ years of experience with large-scale data processing via Spark, EMR, or HPC computing.
• 2+ years of experience using Vizio, Draw.io, or Miro for solution modeling.
• Experience with RESTful APIs and service-oriented architectures.

Key Skills

Education

Any Graduate