Назад
3 дня назад

Data Engineer (AWS/Databricks)

Формат работы
remote (только Turkey)
Тип работы
fulltime
Грейд
senior
Английский
b1
Страна
Turkey
hhВакансия с HeadHunter. Контакт ведёт на hh.ru

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Описание вакансии

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TL;DR
Data Engineer (AWS/Databricks): Building and optimizing fault-tolerant ETL/ELT pipelines, analytics-ready data models, and data quality frameworks for a ticketing platform with an accent on Spark performance, medallion architecture, and scalable warehouse design. Focus on diagnosing multi-system pipeline failures, tuning distributed processing, and implementing reliable production data contracts.

Location: Remote from Turkey

Company

Nitka Technologies develops software for customers in the US and Europe and works with a distributed group of approximately 300 professionals across Eastern Europe, North and South America, Armenia, Georgia, and Kazakhstan.

What you will do

  • Lead discovery and requirements-gathering sessions with business stakeholders.
  • Build, optimize, and maintain end-to-end ETL/ELT pipelines using reusable dbt macros, incremental models, and snapshots.
  • Design analytics-ready data models, foundational tables, star schemas, reporting marts, and medallion architecture layers.
  • Tune Spark jobs by optimizing partitions, reducing shuffle, and improving transformation efficiency.
  • Implement automated data quality checks and investigate complex issues across Spark, Kafka, dbt, and other pipeline components.
  • Create technical documentation, data model diagrams, and production support runbooks.

Requirements

  • At least 5 years of data engineering experience.
  • Advanced proficiency in Python, Spark, and SQL.
  • Strong experience with AWS and Databricks.
  • Experience with Kafka and modern data stack tools such as dbt and Airflow or equivalent.
  • Deep understanding of dimensional modeling, star and snowflake schemas, medallion architecture, and data warehouse design.
  • Strong spoken English at Intermediate level or higher; remote work from Turkey required.

Nice to have

  • Knowledge of lambda, kappa, and lakehouse system topologies.
  • Ability to structure problems for AI assistance and design pipelines for AI-assisted development.

Culture & Benefits

  • 100% remote work on a long-term project.
  • Full-time schedule of 8 hours per day.
  • USD compensation.
  • Paid vacation and holidays.

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