Proven experience as a data engineer or similar role
Strong analytical, problem solving, documentation and communication skills with an attitude to manage complexity and changing priorities
Sound understanding of data modelling concepts (conceptual or logical or physical modelling)
Strong knowledge of SQL for writing, optimizing, and debugging queries
Familiarity with database design, indexing, and normalization principles
Proficiency in and deep understanding and experience of Cloud based infrastructure and services preferably AWS especially related to data storage and processing such as S3, RDS, Redshift, Iceberg and Glue
Familiarity and/or working knowledge with Python or Spark programming languages
Working knowledge and experience in BI or Data warehousing or ETL using tools like Glue, EMR or Abinitio
Experience in test automation and using test management tools like JIRA
Familiarity with visualization tools such as Power BI, Tableau or Quick Sight
Strong knowledge and experience with CI or CD tools such as GitHub Actions, Jenkins, TeamCity, Artifactory or Octopus
Familiarity and experience with Agile processes
Knowledge and experience with Dev Ops practices and tool
Good automation skills in areas such as testing, data ingestion, APIs, file transfers
Associate level cloud certification in data engineering
Good understanding of AI especially in the areas of data processing and analytics