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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:
Java, Spark Streaming, Scala, Kafka, Python, Sql, Doris, Clickhouse, Starrocks, Flink
Skills:
Data Modeling, Dimensional Modeling, Data Warehousing, Sql, Star Schema, ELT, Etl, Cloud Data Platforms
Skills:
data engineering , Python, Sql, Pyspark, AWS, Aws Rds, S3, Apache Airflow, Kafka, Etl, ELT, Data Modeling, Data Lake, Docker, Cloud Infrastructure, Nosql, Data Quality, Scalability, dbt, Debezium, CDC Frameworks, Data Pipelines, Real-Time Processing, Batch Processing, Apache Iceberg, Delta Lake, ClickHouse, Workflow Orchestration, Relational Databases, ERP Data Integration, Construction Data, Manufacturing Data, Logistics Data, Pipeline Monitoring, Troubleshooting, Performance Optimization
Skills:
Alteryx, MySQL, PostgreSQL, Tableau, Informatica, Sql, Etl, Dataiku, Tableau Prep
Skills:
snowflake , Gtm, BigQuery, Power Bi, Tableau, Redshift, Sql, Databricks, Airflow, Prefect, dbt, Dagster, Looker Studio, GA4
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