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 eg 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 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.