6 Apache Spark Jobs in Belfast

data warehouse, data lake design/building, and data movement. Design and deploy production data pipelines in Big data architecture using Java, Python, Scala, Spark, and SQL. Tasks involve scripting, API data extraction, and writing SQL queries. Comfortable designing and building for AWS cloud, encompassing Platform-as-a-Service more »

and Public Services, Healthcare, Life Sciences, and Transport. Essential Skills & Experience: Design and deploy data pipelines in big data architecture using Java, Python, Scala, Spark, and SQL. Execute tasks involving scripting, API data extraction, and SQL queries. Proficient in data cleaning, wrangling, visualization, and reporting. Specialised in AWS cloud more »

success. 💼 What You Bring to the Table: Expertise in designing and deploying production data pipelines within a big data architecture using Java, Python, Scala, Spark, and SQL. Proven experience in tasks like scripting, API data extraction, and SQL queries. Collaboration with engineering teams and integration of data engineering components more »

designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies. Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL … . Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc. more »

of the leading technology-orientated organisations with an abundance of interesting projects, learning resources, free cloud certifications and more. Role requirements • Experience with Python, Spark, or Py-Spark • Experience with SQL for databases • Experience developing Data/ETL pipelines • Knowledge of AWS cloud, Azure or GCP (Commercially or more »

leading technology-orientated organisations with an abundance of interesting projects, learning resources, free cloud certifications and more. Role requirements • 5+ years Experience with Python, Spark, or Py-Spark • 5+ years experience Experience with SQL for databases • Extensive experience developing Data/ETL pipelines • Hands on commercial experience with more »