Data Architecture Specialist

7 days ago


Remote, Czech Republic Link Group Full time

We are seeking a highly skilled Data Engineer to join our team at Link Group. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data pipelines using Python and SQL.

Key Responsibilities
  • Design and implement efficient ETL processes to extract, transform, and load data from various sources into our data warehouse.
  • Collaborate with data scientists and IT teams to align data architecture with business objectives, ensuring seamless integration of data infrastructure within the organization.
  • Develop and maintain high-performance storage solutions, including relational databases and data warehouses, to support business intelligence, analytics, and machine learning initiatives.
  • Build integrations with external APIs and internal systems to enable efficient data exchange, ensuring data consistency and integrity.
  • Monitor system performance, troubleshoot issues, and contribute to the automation and scalability of data workflows.

This is an exciting opportunity to work with cutting-edge data technologies in a dynamic environment, contributing to data-driven decision-making and business transformation.

Requirements
  • 3+ years of experience developing ETL processing pipelines using Python and SQL.
  • Strong data modeling and database management skills, particularly with relational databases (preferably PostgreSQL).
  • Proficiency in Linux environments (especially RedHat distributions) and version control systems (Git).
  • Familiarity with DevOps pipelines, particularly Azure DevOps Services.
  • Understanding of containerization technologies like Docker or Podman.
  • Strong problem-solving skills and willingness to learn new technologies.
Nice to Have
  • Experience with Apache Airflow or other data orchestration tools.
  • Familiarity with Databricks, Dataiku, MLflow, or similar Machine Learning platforms.
  • Knowledge of kdb+/q and distributed processing frameworks like Hadoop and Spark/PySpark.
  • Understanding of financial markets, especially fixed income instruments.

About Us: We are a leading global technology company, delivering innovative digital solutions to help organizations succeed in today's fast-paced market.



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