Job description

Your responsibilities:

• Technical Skills: Proficiency in SQL, Python, and Pandas for data manipulation, along with experience in dbt for transformations and GitLab for version control and CI/CD.

• Data Engineering Expertise: Strong understanding of data modelling, ETL processes, and data warehousing concepts.

• CI/CD Knowledge: Ability to set up and manage automated data pipelines using GitLab CI/CD.

• Cloud & Infrastructure: Experience with Snowflake's architecture, including warehouses, schemas, and security.

• Python & Pandas: Ability to write efficient Python scripts for data processing, leveraging Pandas for data wrangling and analysis.

• Collaboration & Documentation: Strong communication skills to work with analysts and engineers, plus experience documenting data workflows.

We are looking for you, if you have:

• 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

• 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)

We offer:

• Interesting and challenging projects

• Flexible working hours

• Friendly, non-corporate atmosphere

• Stable working conditions (CoE or B2B)

• Possibility for self-development and promotion in the company

• Rich benefits package

• Possibility to work remotely

We reserve the right to contact the selected candidates.