Senior Data Engineer @ ASTEK Polska Remote

Senior Data Engineer @ ASTEK Polska

Remote

You’re ideal for this role if you have:

• 4+ years of working with programming language focused on data pipelines,eg. Python or R
• 4+ years of experience working with SQL
• 3+ years of experience in data pipelines maintenance
• 3+ years of experience with different types of storage (filesystem, relation, MPP, NoSQL) and working withvarious kinds of data (structured, unstructured, metrics, logs, etc.)
• 3+ 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)
• 3+ years of cloud technologies with emphasis on data pipelines (Airflow, Glue, Dataflow - but also other smart solutions of handling data in the cloud - elastic, redshift, bigquery, lambda, s3, EBS etc.)
• 4+ years of experience working with SQL
• 1+ years of experience in Java and/or Scala
• Very good knowledge of relational databases (optional)
• Very good knowledge of data serialization languages such as JSON, XML, YAML
• Excellent knowledge of Git, Gitflow and DevOps tools (e.g. Docker, Bamboo, Jenkins, Terraform
• Capability to conduct performance analysis, troubleshooting and remediation (optional)
• Excellent knowledge of Unix
• Pharma data formats is a big plus (SDTM)
• Required English level: minimum upper-lntermediate (B2)

Your personality:

• You are a team player
• You are focused on long-term cooperation
• You easily adopt to changes

We are a part of ASTEK Group, which has been gathering experience in the global consulting and engineering services market since 1988. ASTEK Group is a global player in engineering and technology consulting, present on 5 continents.

What do we learn from other Group entities in our daily work? First and foremost: inspiration, objectives, good practices, innovative activities and values. In 2020, 2021, 2022 and 2023 we received the Great Place to Work certificate, and found ourselves among the 15 Best Workplaces in Poland in the category: large companies.

Our Client is is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. The Client is also the world leader in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management.

How about joining ASTEK Polska’s community of Data Engineers?

About the project:

We are looking for a resource with a combination of Data Engineering/Visualization and Data Analysis with extensive hands-on experience with designing and implementing solutions to manage data, setting up data pipelines and building data solutions to establish data products in our Cell and Gene Therapy space.

The candidate needs to have extensive experience with building complex solutions using cloud technologies (AWS, Snowflake) and workflow orchestration and data management tools. Experience with data visualization tools such as Tableau or Thoughtspot is a must.

The candidate needs to have practical and proven experience with setting up CI/CD pipelines, workflow automation and developing data pipelines using Python, Airflow, dbt.

The candidate needs to be able to converse pro-actively with customers to understand their needs and collect requirements.

Added value for you:

• Long-term cooperation
• Possibility to choose preferred type of cooperation (regular job contract with all benefits or flexible B2B contract)
• Technical trainings, certificates and upskilling
• Competence Center mentoring - you will be a member of CC community from the first day of your work. You’ll have a chance to develop your skills, participate in various conferences and share your knowledge and experience with people who face the same challenges in their daily work
• Clear career path
• Employee benefits package
• Friendly work atmosphere, social events and team-building meetings

,[] Requirements: Data pipelines, Python, R, SQL, Storage, NoSQL, Data modeling, ETL, Cloud, Glue, Redshift, AWS Lambda, AWS S3, Java, Scala, Relational database, JSON, XML, YAML, Git, Gitflow, DevOps, Docker, Bamboo, Jenkins, Terraform, Unix Additionally: Training budget, Private healthcare, Sport subscription, Competence Center mentoring.

Kategorie

data

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