We are looking for an experienced Engineer who understands the value of the data, treats data as a valuable resource and enjoys working with huge amounts of data. You will be involved in the design and development of complex BI applications, creating efficient and performant data pipelines, defining and taking care about data quality.

What you’ll be doing:

  • Design and engineer data quality
  • Engineer scalable and reliable data pipelines
  • Ensure business fit of architecture decisions
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using batch and stream processing.
  • Auditing DWH/ETL solutions, providing recommendations for their improvements. Building DWH from scratch.
  • Take care of data warehousing as a process.
  • Work as a part of a cross functional team together with customers to provide business new insights.

What we’re looking for:

Essential:

  • Detail-oriented and passionate about data quality
  • 3+ years of prior experience in engineer role
  • Good SQL skills. Experience with query optimization
  • Advanced knowledge of Python or any other programming language + wish to learn Python
  • A deep understanding of data warehousing and ETL/ELT concepts
  • Experience with data modeling
  • Experience with DBMS in data warehousing context (SQL Server, Oracle, PostgreSQL or similar)
  • Git DVCS
  • Spoken and written English – intermediate level

Nice to have:

  • Experience with Cloud DWH solutions (e.g. Azure Synapse, AWS Redshift, Snowflake).
  • Experience with DBMS administration tasks (installation, configuration, monitoring, backup, etc.)
  • Experience with BI visualization tools (e.g. Power BI, Tableau, or Qlik).
  • Experience with Machine Learning
  • Experience with Kafka, Spark, Flink
  • Experience with any ETL/DWH/OLAP systems (Fivetran, Vertica, ClickHouse, Kylin etc.)

We offer:

  • A team of professionals where you can discuss both new technologies and hobbies/interests
  • Professional and career growth
  • Conferences, seminars and time to study new technologies
  • English Language Courses *instinctive English
  • A pleasant atmosphere of freedom and responsibility for it
  • Flexible working time
  • A good social package and soulful parties
  • Stability (the company is 21 years old, HTP resident).

Join our team

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