4 дня назад
Data Engineer
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Текст:
TL;DR
Data Engineer (Python/Spark): Building and optimizing end-to-end ETL/ELT pipelines, analytics-ready data models, and reporting marts for an event ticketing platform with an accent on scalable delivery, medallion architecture, and data quality. Focus on tuning Spark workloads, diagnosing Kafka and dbt failures, implementing automated quality contracts, and designing production support documentation.
Location: Remote, Baku
Salary: Attractive USD compensation
Company
Nitka Technologies develops software for customers in the US and Europe and brings together 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.
- Document source schemas and define analytics-ready data model specifications.
- Build, optimize, and maintain end-to-end ETL/ELT pipelines using reusable dbt macros, incremental models, and snapshot patterns.
- Design dimensional data models, foundational tables, star schemas, reporting marts, and medallion architecture layers.
- Tune Spark jobs and pipeline components to meet SLA requirements and improve transformation efficiency.
- Implement data quality checks, diagnose multi-system pipeline issues, and maintain technical documentation and operational runbooks.
Requirements
- 5+ years of data engineering experience.
- Advanced proficiency in Python, Spark, and SQL.
- Strong experience with AWS and Databricks.
- Familiarity with Kafka and modern data stack tools such as dbt and Airflow or equivalent.
- Deep understanding of dimensional modeling, medallion architecture, data warehouse design, and lambda, kappa, and lakehouse topologies.
- Strong spoken English at Intermediate level or higher.
Culture & Benefits
- 100% remote full-time work, 8 hours per day.
- Long-term project for a California-based customer and an industry leader in event ticket sales.
- Paid vacation and holidays.
- USD compensation.
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