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<p>Skill: Tech. Lead (AWS Data Lake/ETL migration)</p> <p>Must Have Technical/Functional Skills:</p> <ul> <li>Glue / Lambda, Glue Workflow, Python, SNS, AWS Step Functions, AWS S3. </li><li>Knowledge on PostgreSQL, experience in building metadata driven reusable components. </li></ul> <p>Roles & Responsibilities:</p> <ul> <li>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. </li><li>Expertise in building high-performing, scalable, enterprise-grade Data Lake/ Data Warehouse. Solution/technical architecture in AWS on Data Lake/Datawarehouse/Lakehouse. </li><li>12+ Years in Data Lake and Datawarehouse Implementation in AWS. </li><li>Must have implementation knowledge about different AWS services like: Glue, Lambda, Glue Workflow,, SNS, AWS Step Functions, AWS S3, PostgreSQL. </li></ul> <p>Must have good knowledge on Data:</p> <ul> <li>Like/DW/Lakehouse architecture. </li><li>Good communication knowledge to participate in technical discussions with customers. </li><li>Must have knowledge and design experience on metadata driven re-usable ingestion and ETL framework. </li><li>Must have hand-on knowledge on PySpark/Python etc. </li><li>Candidate should also have knowledge on AWS SQS, Pub/Sub architecture, Kinesis Firehose, EKS etc. </li><li>Should have knowledge of AWS DevOps. </li></ul> <p>Good-to-Have:</p> <ul> <li>AWS infrastructure, security. </li><li>Knowledge of other AWS services like DMS, CloudTrail, CloudWatch, DynamoDB etc. </li><li>Knowledge about other ETL tools. </li><li>Experience on other cloud (e.g. Azure/GCP) implementation. </li><li>Knowledge about Data Governance, Data Modelling etc. </li><li>Certified AWS Solutions Architect - Associate Any Professional/Specialty AWS certification. </li></ul> <p>Salary Range - $100,000-$120,000 a year</p> <p>#LI-NS2</p>
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