Senior Data Engineer
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- auf Anfrage
- 80805 München
- Europa
- de | en
- 03.12.2024
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
8/2024 – 12/2024
Tätigkeitsbeschreibung
Part of agile team (8 members) providing cloud data analytics platform for business depart- ments of world-leading automotive OEM. Migrating cloud infrastructure within AWS with Terraform. Challenging architecture of existing data pipelines and models.
Skills: AWS: Redshift, lambda, Glue, Athena, Terraform, Python, CI/CD, PySpark, Collibra
Amazon Web Services (AWS)
11/2022 – 8/2024
TätigkeitsbeschreibungPart of two agile teams (18 members) providing data analytics platform for customs and border security business departments. Redesigned ETL architecture for ~60 data products processing customs and personal data. Improved performance by factor of ~100. Technical lead in decision making with architects and review of Pull-Requests and tickets of 12 developers.
Eingesetzte QualifikationenApache Kafka, Apache Spark, Python, SQL
1/2022 – 9/2022
Tätigkeitsbeschreibung
Part of agile team (~30 members) providing cloud data platform for industry-leading business departments. Designed and implemented architecture for ~30 ETL applications and APIs processing global IoT data on a terabyte scale. Deployment of various managed services in hybrid cloud setup. Enablement of client developers. Optimized storage to save ~4000€ per month.
Python, Azure, Databricks (Delta Lake), PySpark, SQL, NiFi, Shell, CI/CD, Terraform}}
Apache Spark, Databricks, Bash Shell, Continuous Integration, Microsoft Azure, Python, SQL
6/2020 – 1/2022
TätigkeitsbeschreibungPart of agile team (6 members) with goal to provide data-driven insights to end-users on globally distributed IoT data of industry-leading client. Designed and implemented architecture for ETL and machine learning applications that process data daily on a giga- and terabyte scale. Full responsibility from raw data collection over processing with machine learning to visualization. Deployment of various managed services in private network on Azure. Enablement of client developers.
Eingesetzte QualifikationenMicrosoft Azure, Apache Spark, Databricks, Bash Shell, Continuous Integration, Python, SQL
Zertifikate
Databricks
Microsoft
Databricks
Ausbildung
Technische Universität München
Weitere Kenntnisse
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
- Schweiz
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