Description

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

This role is on-site.

Responsibilities

• Create and maintain data solutions ensuring alignment with enterprise architecture.
• Perform PoCs to establish standard data patterns and evaluate emerging technologies.
• Translate business requirements into technical solutions 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.

Required Skills

• 8+ years of experience in data, analytics, AI/ML, business intelligence, or data warehouse platforms.
• 5+ years of experience as a Data Solution Architect on AWS cloud platforms.
• 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 Oracle Data Integrator (ODI).
• 4+ years of experience with programming languages including Node.js, Python, Java, or Scala.
• 4+ years of experience solutioning in AWS Cloud environments for large-volume data processing.
• 3+ years of experience with AWS serverless architecture using Athena, Glue, EC2, Lambda, and Kinesis.
• 2+ years of experience with large-scale data processing platforms like Spark, EMR, or HPC computing.
• 2+ years of experience using Vizio, Draw.io, or Miro for solution modeling.

Key Skills

Education

Any Graduate