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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:
data engineering , snowflake , Sql, ETL/ELT, AI/ML
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:
data engineering , Azure Data Lake, Kafka, Postgresql, FastAPI, Apache Kafka, PostgreSQL, Python, Angular, Typescript, Rest API Development, API security, Azure Synapse, Azure Storage, Sql, Database Design, Devops, Kubernetes, Authentication, Identity Management, solution architecture, Web Application Development, TimescaleDB, asynchronous processing, data pipeline development, real-time data streaming, Batch Processing, cloud data platforms, CI/CD pipelines, container orchestration, microservices architecture, observability, Microsoft Entra ID, consumer groups, Problem Solving
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
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