JD 1: Senior Data Eng position here is the skills summary (the AWS data stack is must have)
Sound understanding of Data modelling concepts
Strong knowledge of SQL
AWS Data Stack: S3,RDS, Redshift,Iceberg and Glue (proficient)
Programming languages: Python/Spark (working knowledge)
Data warehousing / ETL : Glue,EMR or Abinitio (working knowledge)
Visualization : PowerBI, Tableau or QuickSight (familiarity)
CI/CD tools : GitHub Actions, Jenkins,TeamCity, Artifactory or Octopus
Experience in test automation and using test management tools like JIRA
JD 2: Staff Data Eng position here is the skills summary (the AWS data stack is must have)
Strong Data Architecture expertise including different data modelling techniques and design patterns
Strong knowledge of data governance such as data lineage, technical metadata, data quality and reconciliation
Ability to drive platform efficiency through automation and AI capabilities
AWS Data Stack: EMR, Glue, Redshift, Athena, S3, Lambda, ECS
Data Orchestration \& Pipelines: Airflow, Dataform
Data Formats \& Modelling: Iceberg, JSON, XML, CSV, Data Modelling
Programming \& DevOps: Python, SQL, Git, GitHub Actions, Team City, Jenkins, Octopus,Unix shell scripting
ETL \& Ingestion: File ingress/egress solutions in AWS
Security and Observability: DevSecOps, Artifactory, Observability tooling
Testing \& Automation: test automation frameworks, Jupyter Notebooks
Familiarity with data warehousing and build experience in Teradata, Oracle
Experience in visualisation tools such as PowerBI, Tableau
Familiarity and experience with Agile processes