This is a fully remote position, open to applicants in Poland.

• Design, develop, and maintain robust data pipelines for both batch and streaming data processing.

• Create and enhance ETL workflows utilizing Python and SQL.

• Construct and oversee Airflow DAGs for the orchestration of data workflows.

• Execute data transformations and implement data quality assessments.

• Optimize BigQuery queries and data models to ensure performance and cost efficiency.

• Diagnose and enhance the reliability of existing data pipelines.

• Collaborate with analysts and engineering teams to fulfill data requirements.

• Minimum of 4 years of experience as a Data Engineer.

• Extensive experience with SQL and Google BigQuery.

• Proven experience in constructing data pipelines and ETL processes.

• Strong proficiency in Python for data processing tasks.

• Practical experience with Apache Airflow.

• Familiarity with handling large datasets.

• Understanding of data modeling and data warehousing principles.

• Experience in query optimization and cost-efficient data processing methods.

• Knowledge of data pipeline monitoring and observability techniques.

• Language proficiency: fluent in both Russian and English.

• Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card.

• Your Happiness: Enjoy the company of great teammates, a friendly atmosphere, strong mentorship, and a variety of bonuses & corporate gifts.

• Your Development: Take advantage of free educational events & courses, as well as English classes with native speakers.

• Your Career: Concentrate on your professional growth within a supportive environment.

• Work-Life Balance: Choose your preferred working format - remote, office-based, or hybrid, and participate in team-building activities.

Data Engineer

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