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Data Lakehouse & Data Product Engineer
Purpose & Overall Relevance for the Organization:
What You Bring:
Requisite Education and Experience / Minimum Qualifications:
COURAGE: Speak up when you see an opportunity; step up when you see a need.
OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.
INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.
TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.
INTEGRITY: Play by the rules. Hold yourself and others accountable to our company's standards.
RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.
Sport keeps us fit. Keeps you mindful. Brings us together. Through sport we have the power to change lives. Whether it is through stories of inspiring athletes. Helping you to get up and get moving. Sportswear featuring the latest technologies, to up your performance. Beat your PB. adidas offers a home to the runner, the basketball player, the soccer kid, the fitness enthusiast. The weekend hiker that loves to escape the city. The yoga teacher that spreads the moves. The 3-Stripes are seen in the music scene. On stage, at festivals. Our sports clothing keeps you focused before that whistle blows. During the race. And at the finish lines. We’re here to support creators. Improve their game. Their lives. And change the world.
adidas is about more than sportswear and workout clothes. We partner with the best in the industry to co-create. This way we offer our fans the sports apparel and style that match their athletic needs, while keeping sustainability in mind. We’re here to support creators. Improve their game. Create change. And we think about the impact we have on our world.
Job ID: 114471029
Skills:
Data Modeling, Sql, Spark, Data Integration, Python, data pipeline development, OneLake, schema management, data quality frameworks, Reconciliation, incremental processing, Pipelines, Notebooks, partitioning, performance optimization, Lakehouse architecture, Microsoft Fabric, Azure data services, Validation
Skills:
Azure, Python, AWS, ETL ELT tools, data pipeline development, Snowflake SQL
Skills:
Pyspark, Cloud, Gcp, Python, Sql, dbt, Data Modelling Concepts
Skills:
Pyspark, Apache Spark, Sql, Rabbitmq, Rdf, Neo4j, Apache Kafka, Python, Airflow, GraphDB, owl, pgvector, Stardog, Great Expectations, Pinecone, Flink, AWS Glue DataBrew, Chroma, dbt, Dagster, Milvus, Weaviate, Apache Jena
Skills:
amazon emr , Aws Lambda, Cloudformation, Amazon Kinesis, Pyspark, Amazon S3, AWS Glue, Sql, Terraform, Amazon Redshift, Python, AWS CDK, AWS DMS, Amazon MWAA, AWS Step Functions, AWS Lake Formation