Tech. Lead (AWS Data Lake/ETL migration)

Skill: Tech. Lead (AWS Data Lake/ETL migration)

Must Have Technical/Functional Skills:

Glue / Lambda, Glue Workflow, Python, SNS, AWS Step Functions, AWS S3.

Knowledge on PostgreSQL, experience in building metadata driven reusable components.

Roles & Responsibilities:

Strong knowledge about AWS Data Platform and must have experience of Data Lake, Data Warehouse implementation and migration in/to AWS cloud. Must have strong knowledge on implementing metadata driven re-usable data ingestion and ETL framework, DQ framework, ETL pipeline design, ETL orchestration etc.

Expertise in building high-performing, scalable, enterprise-grade Data Lake/ Data Warehouse. Solution/technical architecture in AWS on Data Lake/Datawarehouse/Lakehouse.

12+ Years in Data Lake and Datawarehouse Implementation in AWS.

Must have implementation knowledge about different AWS services like: Glue, Lambda, Glue Workflow,, SNS, AWS Step Functions, AWS S3, PostgreSQL.

Must have good knowledge on Data:

Like/DW/Lakehouse architecture.

Good communication knowledge to participate in technical discussions with customers.

Must have knowledge and design experience on metadata driven re-usable ingestion and ETL framework.

Must have hand-on knowledge on PySpark/Python etc.

Candidate should also have knowledge on AWS SQS, Pub/Sub architecture, Kinesis Firehose, EKS etc.

Should have knowledge of AWS DevOps.

Good-to-Have:

AWS infrastructure, security.

Knowledge of other AWS services like DMS, CloudTrail, CloudWatch, DynamoDB etc.

Knowledge about other ETL tools.

Experience on other cloud (e.g. Azure/GCP) implementation.

Knowledge about Data Governance, Data Modelling etc.

Certified AWS Solutions Architect - Associate Any Professional/Specialty AWS certification.

Please send your resume to