Senior Data Architect

Data Engineer designs, builds, and maintains scalable data solutions to enable advanced analytics and business intelligence across ***’s enterprise.

• Design and implement ETL pipelines using AWS services (Glue, EMR, DMS, S3, Redshift).
• Orchestrate workflows with AWS Step Functions, Event Bridge, and Lambda.
• Integrate CI/CD pipelines with Git Hub and AWS CDK for automated deployments.
• Develop conceptual, logical, and physical data models for operational and analytical systems.
• Optimize queries, normalize datasets, and apply performance tuning techniques.
• Use Python, PySpark, and SQL for data transformation and automation.
• Monitor pipeline performance using Cloud Watch and Glue job logs.
• Troubleshoot and resolve data quality and performance issues proactively.

• 8–10+ years in Data Engineering or related roles.
• Proven track record in AWS-based data solutions and orchestration.
• Integration with ERP systems (SAP, Homegrown ERP Systems).
• API-based Data Exchange between Manufacturing, Supply Chain legacy applications and AWS pipelines.
• Audit Trails & Reporting for compliance verification.
• Expertise in cloud to design, build, and maintain data-driven solutions.
• Skilled in Data Architecture and Data Engineering with a strong background in Supply Chain domain.
• Experienced in Data Modeling (Conceptual, Logical, and Physical), ETL optimizations, Query optimizations and Performance tuning.

• Strong integration background with DB2, UDB, SQL Server etc.

• Strong communication and collaboration skills.
• Ability to work with cross-functional teams and stakeholders.