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Data Engineer in Agenciya oboronnih zakupivel DOT

Posted more than 30 days ago

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Agenciya oboronnih zakupivel DOT

Agenciya oboronnih zakupivel DOT

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Without experience
Kyiv
Full-time work
The DOT Defense Procurement Agency is a state enterprise engaged in the procurement of equipment, ammunition, UAVs, food, clothing, fuel and lubricants for the Armed Forces and the Defense Forces. Our mission: we provide the Defense Forces and develop the national defense industry for the stability and defense capability of Ukraine. Our vision: driver of the development of the system of support of the Defense Forces of Ukraine according to NATO standards. We are currently looking for a Data Engi

The DOT Defense Procurement Agency is a state enterprise engaged in the procurement of equipment, ammunition, UAVs, food, clothing, fuel and lubricants for the Armed Forces and the Defense Forces.

Our mission: we provide the Defense Forces and develop the national defense industry for the stability and defense capability of Ukraine.

Our vision: driver of the development of the system of support of the Defense Forces of Ukraine according to NATO standards.

We are currently looking for a Data Engineer who will be responsible for developing and maintaining ETL/ELT pipelines, working with PostgreSQL and dbt, automating data loading into Apache Airflow, monitoring data quality and interacting with the team to create reliable data solutions for the military.

Job duties:

  1. Development, optimization and support of data pipelines (ETL/ELT).
  2. Working with databases (Postgres), optimization of SQL queries.
  3. Building transformational models in dbt (data build tool).
  4. Automation of data loading processes using Apache Airflow.
  5. Data quality monitoring, writing tests at the model level.
  6. Interaction with analysts, product managers to understand data needs.
  7. Documentation of processes, models and pipelines.

Requirements for candidates:

  1. Ability to work with PostgreSQL (or similar RDBMS)
  2. confident command of SQL.
  3. Ability to work with dbt: writing models, configurations, tests.
  4. Ability to configure and work with Apache Airflow.
  5. Understanding the principles of building scalable data pipelines and the ELT approach.
  6. Knowledge of Git.

Will be an advantage:

  1. Basic understanding of CI/CD processes.
  2. Experience with cloud platforms (AWS, GCP, Azure).
  3. Knowledge of Python (especially for data engineering tasks).
  4. Ability to work with data lake / data warehouse (Redshift, BigQuery, Snowflake).
  5. Experience setting up data quality monitoring.

We offer:

  • A team where everyone is important: we are a team of like-minded people with mutual respect and support.

  • Transparency and systematicity: clear goals, clear internal communications and a systematic approach.

  • Professional growth and training: we promote the continuous development of our employees.

  • Comfortable start: a structured adaptation process awaits you and the support of a mentor who will help you quickly get up to speed.

  • Competitive conditions: official employment, social guarantees, competitive wages and the opportunity to work on the largest projects in the country.

  • Comfort and working conditions: a modern, cozy office within easy reach of the metro, equipped with shelter and uninterrupted internet.

Learn more about our activities and corporate culture:

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The number of people in the room is very small. How much? Don't worry about it!

*References: How to use it, in the following way: Most of the time, it's time to see what's going on. закону.

** Most of the time, this is the most important thing in the world. кваліфікація найбільше вакансії.

Without experience
Kyiv
Full-time work
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