Job Description:- 

• Primary Responsibilities-

• Operationalizing data pipelines to support advanced analytics and decision making
• Building data APIs and data delivery services to support critical operational and analytical applications
• Leveraging capabilities of DatabricksLakehouse functionality as needed to build Common/Conformed layers within the data lake
• Contributing to the design of robust systems with an eye on the long-term maintenance and support of the application
• Leveraging reusable code modules to solve problems across the team and organization
• Handling multiple functions and roles for the projects and Agile teams
• Building the Data Lake using AWS technologies likeS3, EKS, ECS, AWS Glue, AWS KMS, AWS Firehose, EMR
• Developing sustainable, scalable, and adaptable data pipelines

Skills

Requirements

• Technical Expertise:-
  • Experience with designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies.
  • Experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing.
  • Experience developing applications with Monitoring, Build Tools, Version Control, Unit Test, TDD, Change Management to support DevOps.
  • Experience with SQL and Shell Scripting experience
  • Experience in a Data Pipeline Development role. Demonstrated strong execution capabilities

Intrested candidates can mail their CV at [email protected]

Thanks and Regards 

Rahul Bharsakre 

HR executive 

Corporate Steps