Data Engineer

Description

Summary: We are seeking a Data Engineer to evolve data infrastructure, optimize data flows, and ensure data availability and quality by partnering with data scientists and analysts. Highlights: 1. Design, build, test, and maintain highly scalable data management systems 2. Collaborate with data architects, modelers, and IT teams 3. Opportunity to evolve and optimize data infrastructure We’re looking for a Data Engineer to evolve our data infrastructure, optimize data flows, and guarantee data availability and quality. You will partner closely with data scientists and analysts to keep a consistent, scalable data delivery architecture across all ongoing projects. **Responsibilities** * Design, build, install, test, and maintain highly scalable data management systems. * Ensure solutions meet business requirements and industry best practices. * Integrate/re\-engineer emerging data\-management and software\-engineering technologies into existing data stacks. * Define and document standardized processes for data mining, data modeling, and data production. * Use a variety of languages and tools to stitch systems together (e.g., Python, SQL). * Recommend improvements to increase data reliability, efficiency, and quality. * Collaborate with data architects, modelers, and IT teams to align on project goals. **Requirements** * Bachelor’s/Master’s degree in Computer Science, Engineering, or related field or equivalent proven experience as a Data Engineer, Software Developer, or similar role. * Proficiency with the Apache ecosystem (Parquet, Hadoop, Spark, Kafka, Airflow). * Strong hands\-on experience with AWS data services (Amazon Redshift, Kinesis, Glue, S3\). * Demonstrated experience building and optimizing big\-data pipelines, architectures, and datasets. * Strong analytical skills working with unstructured datasets. * Experience with relational SQL and NoSQL databases, preferably Snowflake and/or Databricks. * Familiarity with data pipeline and workflow orchestration tools. * Strong project management and organizational skills. * Excellent written and verbal communication skills. * Snaplogic knowledge is a plus. * Proficiency in scripting languages such as Python or Scala. * Familiarity with data visualization tools (e.g., Tableau, Power BI, QuickSight). * AWS Cloud Practitioner, Architecture, Big Data. \#IamBoehringerIngelheim because… We are continuously working to design the best experience for you. Here are some examples of how we will take care of you: * Flexible working conditions * Life and accident insurance * Health insurance at a competitive price * Investment in your learning and development * Gym membership discounts If you have read this far, what are you waiting for to apply? We want to know more about you!