drjobs Data Engineer mwd

Data Engineer mwd

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1 Vacancy
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Job Location drjobs

Offenbach - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Your Key Responsibilities

  • Design and implement largescale data solutions using Big Data and Cloud technologies
  • Design and develop conceptual data models for integrating exploring and retrieving data from heterogeneous data sources and IT systems
  • Implement and manage ETL processes data transformations data flows and service APIs
  • Work with data virtualization integration and analytics technologies on our data platform
  • Implement optimized data representations (views) and aggregations from multiple data sources
  • Define and implement data ingestion retention lineage and access policies
  • Define and implement data service API management and usage policies
  • Define and implement data and data service catalog functionalities
  • Work in interdisciplinary crossfunctional teams according to agile methodology
  • Closely collaborate with business digitalization and IT functions

Your Qualifications

  • Successfully completed studies in Computer Science or related fields
  • Proficient understanding of distributed and Cloud computing principles and technologies
  • Experience with integration of data from multiple data sources and IT systems e.g. ERP/SAP DWH/SAPBW Web Services CRM/Salesforce MES etc.
  • Relevant knowledge in working with Cloud environments and services preferably with Microsoft Azure e.g. Azure Data Factory Data Lake IoT Hub Databricks etc.
  • Strong programming skills in Java and/or Python; Software development experience is a plus
  • Experience in data modeling (ER UML) and proficiency in SQL
  • Experience with relational databases such as Microsoft SQL Server and Oracle Postgres as well as experience with NoSQL databases such as MongoDB Cassandra InfluxDB Stardog
  • Knowledge of ETL techniques and frameworks such as ADF PowerCenter NiFi Sqoop
  • Experience with Hadoop Ecosystem (Spark HDFS Hive HBase) Containers (Docker Kubernetes) and Distributed Messaging Platforms (Kafka NATS) is a plus
  • Fluent in English spoken and written German is beneficial

Employment Type

Full-Time

Company Industry

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