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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: 147607533
Skills:
Spark, Python, Sql, Airflow, Flink
Skills:
MS SQL, PostgreSQL, Talend, Etl Development, Qlik architecture, Airflow, GCP applications development
Skills:
data engineering , Github, Maven, Amazon S3, Kafka, JIRA, Jenkins, Git, Confluence, Bitbucket, Unix Shell, Openshift, Spark, Agile, Data Lake, Data Warehousing, Scrum, Helm, Kubernetes, Python, Java 11, Medallion Architecture, Java 17
Skills:
Adf, Pyspark, Scala, Microsoft Power Bi, Sql, ELT, Databricks, Microsoft Azure, AWS, Etl, Airflow, Data ingestion techniques, Data integration best practices, Delta Lake, Databricks Workflows
Skills:
snowflake , Gtm, BigQuery, Power Bi, Tableau, Redshift, Sql, Databricks, Airflow, Prefect, dbt, Dagster, GA4, Looker Studio
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