6 of 6 Part-Time Flink Jobs

processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) \n Strong SQL skills and experience with SQL-based transformation tooling (e.g. ...

infrastructure \n\n Preferred qualifications, capabilities, and skills \n \n Data modeling skills \n Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) \n Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines \n Experience with lakehouse patterns and table ...

proficiency in SQL. \n Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc. \n Solid grasp of Kubernetes, CI/CD and Terraform. \n Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow ...

languages like Python or Java along with proficiency in SQL \n Experience working with cloud platforms (e.g., Azure) and big data technologies like Spark, Flink etc., \n Solid grasp of Kubernetes, CI/CD and Terraform \n Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow ...

Snowflake or Databricks\n \n \nExperience in building ML features \n \n \nAny experience in real time streaming tools and frameworks, e.g. Apache Flink, is a plus\n \n \nAny experience evaluating new tools and processes to drive the adoption and usability of AI and ML ready data ...

with modern data modelling approaches (Kimball, Data Vault, Medallion) \n Experience with cloud platforms (AWS, Azure, GCP) and event‐driven/streaming technologies (Kafka, Flink, CDC) \n Knowledge of SAP and D365 data extraction approaches, BI tools (e.g. Power BI), and data governance, privacy, and security \n Experience working ...