3 дня назад
Data Engineer (AWS/Databricks)
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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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