Data Engineer

About the project
The product “Release and Certification Management’’ enables a simple, more automated and harmonized batch release and certification process globally. In particular it enables capabilities for batch record review, batch release preparation and disposition, batch certification & QP certification, certificates of analysis, certificates of conformity, specification mgmt, supply chain quality and supplier quality. Providing the data out of this product for secondary use is another key focus area (incl. CMO Organizations).

Duties & Accountabilities

• Development of the application structure.
• Creating a cloud Data product based on the source data.
• Carrying out disaster recovery.
• Applying development optimization tools.
• Automation of work processes, such as deployment.
• Bug detection and fixing.
• Creation of various product features.
• Identifying the best cloud tech stack for the project.
• Bringing the product to market.
• Implementing modifications and updates after the release.
  
  Requirements
• 2+ years of working with programming language focused on data pipelines,eg. Python or R.
• 1+ years of experience working on GCP, Cloud (AWS/Azure/Google) or other cloud platform (optional).
• 1+ years of experience in data pipelines maintenance.
• 1+ years of experience with different types of storage (filesystem, relation, MPP, NoSQL) and working with
  various kinds of data (structured, unstructured, metrics, logs, etc.).
• 1+ years of experience in working in data architecture concepts (in any of following areas data modeling,
  metadata mng., workflow management, ETL/ELT, real-time streaming, data quality, distributed systems).
• 2+ years of experience working with SQL.
• Required technologies and skills: Data & Analytics, Cloud Security, AI & ML, DevOps mindset.
• Exposure to open source and proprietary cloud data pipeline tools such as Airflow, Glue and Dataflow
  (optional).
• Very good knowledge of relational databases (optional).
• Very good knowledge of Git, Gitflow and DevOps tools (e.g. Docker, Bamboo, Jenkins, Terraform.
• Very good knowledge of Unix.
• Good knowledge of Java and/or Scala.
• Pharma data formats is a big plus (SDTM).
• Open to working on EMEA time zones.