Highly Experienced Data Architect

1 tydzień temu


Warszawa, Mazovia, Polska Square One Resources Sp. z o.o. Pełny etat

We are seeking a highly skilled Senior AWS Data Engineer to join our team at Square One Resources Sp. z o.o.

Estimated annual salary for this position is approximately 120,000 USD, taking into account the requirements and qualifications outlined below.

Job Description

This role involves working on a groundbreaking project that enables the discovery, access, processing, publication, and sharing of biomedical data. The objective is to generate insights for secondary use and to integrate both clinical and non-clinical data (Real-World Data, RWD) using the EDIS end-to-end engine.

The ideal candidate will possess a strong background in ETL processes, data modeling, and cloud technologies, particularly within the AWS ecosystem.

Your Responsibilities
  • Develop and enhance Data Warehouse solutions.
  • Design and implement ETL processes to ensure efficient data flow and storage.
  • Maintain and optimize data pipelines using various cloud technologies.
  • Collaborate with cross-functional teams to integrate and process biomedical data.
  • Conduct performance analysis, troubleshooting, and remediation of data-related issues.
  • Ensure data quality and adherence to architectural standards.
  • Utilize best practices in data architecture, including data modeling, metadata management, and workflow management.
Requirements and Qualifications
  • 4+ years in programming with a focus on data pipelines using Python or R.
  • 4+ years of experience working with SQL and relational databases.
  • 3+ years in maintaining data pipelines and handling various data types (structured, unstructured, metrics, logs).
  • 3+ years of experience in data architecture concepts, including ETL/ELT processes, real-time streaming, and data quality.
  • 3+ years of experience with cloud technologies and data pipeline solutions such as Airflow, Glue, and Dataflow.
  • Proficiency in AWS components such as S3, Redshift, DocumentDB, and DynamoDB.
  • Familiarity with different storage solutions (filesystem, relational, MPP, NoSQL).
  • Basic knowledge of Java and/or Scala (1+ years).
  • Strong understanding of data serialization languages like JSON, XML, and YAML.
  • Proficient in using Git, Gitflow, and DevOps tools (Docker, Bamboo, Jenkins, Terraform).
  • Excellent knowledge of Unix and its environment.
  • Experience with pharmaceutical data formats (SDTM).

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