databases, including PostgreSQL, ClickHouse, Cassandra, and Redis. In-depth knowledge of ETL/ELT pipelines, data transformation, and storage optimization. Skilled in working with big data frameworks like Spark, Flink, and Druid. Hands-on experience with both bare metal and AWS environments. Strong programming skills in Python, Java, and other relevant languages. Proficiency in containerization technologies (Docker, Kubernetes) and More ❯
with analytical databases. Familiarity with both cloud solutions (AWS preferably) and on-premises environments as part of cost-optimization efforts. Knowledge of additional data tools and frameworks such as Flink, Redis, RabbitMQ, Superset, Cube.js, Minio, and Grafana (optional but beneficial). Strong leadership and mentoring skills, with the ability to guide a team and provide technical direction. Experience ensuring More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
WorksHub
us achieve our objectives. So each team leverages the technology that fits their needs best. You'll see us working with data processing/streaming like Kinesis, Spark and Flink; application technologies like PostgreSQL, Redis & DynamoDB; and breaking things using in-house chaos principles and tools such as Gatling to drive load all deployed and hosted on AWS. Our More ❯
