Large Scale Data Architect

2 days ago


Stockholm, Stockholm, Sweden TN Sweden Full time

At VIPAS AB, we're passionate about driving innovation and growth in the fields of telecom, automotive, retail, and banking.

We're committed to delivering tailored solutions using cutting-edge technologies like Java and Python, and our team is well-versed in software development, DevOps, and engineering.

As a Senior Analytics Engineer, you'll work with large-scale, highly available data sets that power the experiences of hundreds of millions of users worldwide.

Key responsibilities include:

  • Collaborating on Event Instrumentation: Partner with engineering teams to establish requirements for accurate data tracking and instrumentation.
  • Leading Project Execution: Plan and manage project phases, ensuring tasks are completed on time and objectives are met.
  • Designing Efficient Data Schemas: Analyze current systems, identify gaps, and recommend improvements to design efficient, scalable data schemas for the IAM domain.
  • Establishing Data Governance: Set data management roles, quality metrics, and ensure compliance with policies. Document best practices for IAM data modeling.

Requirements:

  • 5+ years of data product development (Python, SQL).
  • Experience translating analytics goals into production-ready datasets.
  • Skilled in ETL processes, DAGs, and DBT.
  • Strong data modeling and storage expertise.
  • Proficient in SQL and cloud data warehouses (BigQuery, Redshift, Snowflake); GCP experience is a plus.
  • Effective communicator who mentors and collaborates across teams.
  • Able to work independently and handle ambiguity.
  • Committed to improving data quality through testing and performance monitoring.


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