Data Engineer: Expert in Data Pipelines

2 dni temu


Warszawa, Polska Transition Technologies MS Pełny etat

We are Transition Technologies MS, a company that values innovation and technology. We offer a unique opportunity for a highly skilled Data Engineer to join our team.

Salary: $120,000 - $150,000 per year (dependent on location and experience)

About the Role

This is a challenging and rewarding role that requires expertise in data pipelines, SQL, and cloud technologies. As a Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data pipelines using various programming languages, including Python, R, and Java. You will also work closely with our data architecture team to ensure seamless integration with other systems.

Job Description

  • Develop and maintain complex data pipelines using object-oriented programming principles and best practices.
  • Design and implement efficient data processing solutions using SQL, NoSQL databases, and cloud storage services.
  • Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions.

Required Skills and Qualifications

  • 3+ years of experience working with programming languages focused on data pipelines (e.g., Python, R).
  • 3+ years of experience working with SQL and database management systems.
  • 2+ years of experience in data pipeline maintenance and optimization.
  • Experience working with different types of storage (filesystem, relational, MPP, NoSQL) and various kinds of data (structured, unstructured, metrics, logs, etc.).
  • Strong understanding of data architecture concepts, including data modeling, metadata management, workflow management, ETL/ELT, real-time streaming, data quality, and distributed systems.
  • Excellent knowledge of cloud technologies, including Airflow, Glue, Dataflow, and other smart solutions for handling data in the cloud.
  • 1+ years of experience in Java and/or Scala.
  • Experience working in Snowflake cloud environment.
  • 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).

Benefits

  • A great, non-corporate atmosphere.
  • Stable employment conditions (contract of employment or B2B contract).
  • Opportunities for development and promotion.
  • Attractive package of benefits.
  • Remote work.


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