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The Data Engineer is responsible for designing, building, and managing a robust data infrastructure and data pipelines. Their outputs are reliable Data Products in support of Business Intelligence and Analytics assets which deliver actionable insights, facilitate informed decision-making and enable strategic planning.
Accountabilities:
Key Performance Indicators:
Skills, Knowledge and Experience:
About Clarks
Clarks, based in Somerset, England, has been at the forefront of innovative shoemaking since its foundation in 1825 when brothers James and Cyrus Clark made a slipper from sheepskin off-cuts. Sparking revolutions and defining generations, Clarks archive of over 22,000 pairs includes the inimitable Desert Boot and Wallabee – and a ground-breaking combination of invention and craftsmanship remains at the heart of what the brand does now. Cutting-edge collaborations with cultural icons and KOLs, taking strides in social change, reimagining legendary silhouettes, and making shoes that move with the world ahead – Clarks is never standing still.
Job ID: 151209149
Skills:
Sql, Kubernetes, Python, Cloud Data Platform, dbt, BI platforms, Dataform, Conversational analytics, AI applications
Skills:
Oracle, Sql, ELT, microsoft power automate, Automation Tools, Power Bi, Etl, MySQL, Data Warehousing, PostgreSQL, MongoDB, cloud platforms, data lake architectures
Skills:
snowflake , Gtm, BigQuery, Power Bi, Tableau, Redshift, Sql, ELT, Databricks, Etl, Airflow, Prefect, Dagster, dbt, Looker Studio, GA4
Skills:
Data Engineer, Pyspark, Spark SQL, DataFrames API
Skills:
Java, Machine Learning, Scala, Data Lake, Data Warehousing, Data Governance, Python, Sql, ELT, Etl