Data Engineer @
5 days ago
Required Skills & Qualifications:
- Tableau or Thoughtspot (Extensive)
- AWS, Snowflake (Extensive)
- CI/CD pipelinest, workflow automation and developing data pipelines using Python, Airflow, DBT.
- SQL,
- 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.)
Preferred Skills:
- 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 with various 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)
The Clinical Stage Cell Therapy Process & Analytical Development product provides capabilities required to support the analytical development of CGT clinical stage, including experimentation, Clinical assessment, PLM, Material Science.
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 be able to converse pro-actively with customers to understand their needs and collect requirements.
The resources need to be able to do data analysis and engineering work and be able to work with customers in SSF and Europe, i.e. need to be able to work during the golden hours and occasionally be able to attend meetings up to say 8 pm their time.
,[] Requirements: AWS, Snowflake, Python, Tableau, Thoughtspot, Airflow, dbt-
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