Mandatory Skills:
Solid exposure in end-to-end implementation of data solutions using AWS (including S3, Lambda, Database Migration Service, Glue , Kinesis , Step Function, Athena), PySpark and SQL.
Experience in spatial, semi-structured, and unstructured data manipulation.
Strong proven experience working as a Data Engineer leading with complex environments.
Good understanding on Data Modelling / Data warehousing. Experienced in Entity Relationship Modelling.
Experience with designing, building, operating, and deploying scalable data pipelines.
Experience with CI/CD tools: GithubActions or Jenkins
Optimize data pipelines and processes for efficiency, scalability, and cost-effectiveness in the AWS environment.
Ensure data security, encryption, and compliance with data governance policies and industry regulations.
Nice to have:
AWS Experience (Sagemaker, EMR, Quicksight)
DataBricks / Snowflake
Azure
GCP
Experience : 8 - 14 Years
No. of Openings : 1
Education : Any Bachelor Degree
Role : Data Engineer
Industry Type : IT-Hardware & Networking / IT-Software / Software Services
Gender : [ Male / Female ]
Job Country : India