Senior Data Engineer (вакансія неактивна)

Description: The project focuses on providing creative and comprehensive travel solutions for athletes, teams, coaches, parents, universities, and fans.

Requirements:

• 4+ years of experience as a Data Engineer.
• Strong proficiency in Python and SQL.
• Strong expertise in data integration techniques and ETL (Extract, Transform, Load) processes.
• Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
• Proficiency in deploying and managing data infrastructure on cloud environments.
• Expertise in big data technologies such as Hadoop, Spark, Hive.
• Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
• Familiarity with data pipeline and workflow management tools such as Apache Airflow or Luigi.
• Knowledge of data modeling, data architecture, and database design principles.
• Understanding of distributed systems, data storage, and data processing concepts.
• Understanding of data quality principles and experience implementing data validation checks.
• Knowledge of data governance frameworks and best practices.
• At least Upper-Intermediate English; fluent in Ukrainian

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies like Apache Flink or Kafka Streams.
• Familiarity with data visualization tools such as Tableau, PowerBI, or Looker.
• Knowledge of machine learning concepts and experience with ML frameworks like TensorFlow or PyTorch.
• Experience with dbt (Data Build Tool) for data transformation and modeling would be highly preferred.
• Experience with any Python-based orchestration tool such as Prefect or Dagster

Key Responsibilities:

• Design, build, and maintain scalable data pipelines for both batch and real-time processing.
• Develop and optimize a cloud-native data platform for machine learning and analytics.
• Integrate internal and external applications via bi-directional data pipelines and APIs.
• Ingest data into our data warehouse and distribute it to various providers (ESPs, internal applications, adtech platforms).
• Managing the underlying infrastructure for data applications.
• Ensure data reliability, security, and governance across platforms.
• Advocate for new technologies and frameworks to improve data accessibility for business users.
• Collaborate with data scientists and analysts to ensure efficient access to clean and structured data.

We offer:

• Big stable project with a professional team.
• Enterprise project.
• Friendly and supportive work environment.
• Competitive salary and benefits package.
• Room for personal and professional growth.
• Zero bureaucracy.
• 18 business days of paid vacation + public holidays compensation.
• Insurance Fund of the company.
• Coverage of all professional studies.
• Coverage of sick leaves, sports activities, and English language courses.