14.03.2026 aktualisiert


100 % verfügbar
Data Engineer
Berlin, Deutschland
Nur Remote
B.Sc Computer ScienceSkills
JavaAkkaApache HadoopPythonScalaFlaskApache SparkKotlinApache Kafka
Scala, Java, Kotlin, Apache Spark, Apache Kafka, Akka, Python, Flask, Apache Hadoop, Clickhouse, Apache Flink, Rust
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2024
Sprachen
DeutschGrundkenntnisseEnglischgutRussischgut
Projekthistorie
international trade finance products, facilitating data-driven decision making and regulatory reporting (including
Federal Reserve System, European Central Bank, People’s Bank of China)
• Led and expanded a Data engineering team from 4 to 13 people
• Designed a system for End-of-day and Intraday Trade reporting
• It increased completeness metrics by 50% and timeliness by 30%, passed EY audit
• Optimized data processing landscape, saving 20% in computing costs
• Migrated Data landscape to a cloud-ready and horizontally-scalable system through K8s migration It improved
data availability and ETL job success rate to match 95% SLO
Developing pipelines to customer communication support analytics on a large
scale.
Taking part in building infrastructure solutions for Data processing
scale.
Taking part in building infrastructure solutions for Data processing
Managed a team of 10 people, including Data Engineers and Machine
Learning Engineers together with taking part in a development process.
Adopted Agile methodologies in organization of team communication process.
Improving tech stack by re-implementing legacy code, improving storage
approach, leading changes in data store software used.
Built several real-time big data processing pipelines using streaming approach
Learning Engineers together with taking part in a development process.
Adopted Agile methodologies in organization of team communication process.
Improving tech stack by re-implementing legacy code, improving storage
approach, leading changes in data store software used.
Built several real-time big data processing pipelines using streaming approach