We would like to attract qualified candidates for the position Senior/Middle+ Data Engineer.
Our future colleague is a talented specialist who is not just proficient in certain technologies, but is capable of intelligently selecting the best options for their use in specific projects and for solving specific tasks.
A team player who shares our values. What we really want is someone who truly believes in what they do. An engineer who is able to realize his best project.
Top mobile app developer and publisher, specializing in iOS application in the utility, productivity, entertainment categories with a special focus on generative AI applications.
- Evaluate and improve the performance and reliability of Apache Airflow workflows
- Develop and maintain Airflow DAGs to automate data pipelines
- Ensure efficient scheduling and execution of tasks to meet business requirements
- Design and implement alerting mechanisms to monitor data pipelines and systems
- Set up real-time notifications for pipeline failures and performance issues
- Develop strategies for proactive monitoring and incident management
- Integrate new data sources such as PayPal, Stripe, Google, and Facebook into the data infrastructure
- Ensure seamless data ingestion, transformation, and storage from diverse sources
- Maintain data quality and consistency across all integrated platforms
- Collaborate with analytics and other departments to understand their data needs and requirements
- Develop and maintain data solutions that support ad-hoc and scheduled data requests
- Ensure timely and accurate delivery of data to support decision-making processes.
- Advanced proficiency in SQL for querying, manipulating, and managing large datasets
- Ability to optimize SQL queries for performance and efficiency
- Strong knowledge of Apache Airflow for orchestrating complex data workflows
- Experience in designing, implementing, and optimizing Airflow DAGs
- Proficient in using Git for version control and collaboration on codebases
- Ability to manage branches, merges, and code reviews effectively
- Advanced skills in Python for developing data pipelines and automation scripts
- Experience with relevant libraries and frameworks for data engineering
- Experience with Databricks for big data processing and analytics
- Proven experience in a Data Engineer or similar role
- Strong problem-solving skills and attention to detail
- Excellent communication skills, with the ability to work collaboratively with cross-functional teams
- Ability to manage multiple tasks and priorities in a fast-paced environment
- Knowledge of cloud platforms and services (e.g., AWS, GCP, Azure) is a plus
- A supportive atmosphere, working on inspiring products in a team of great professionals
- In-office, hybrid/remote work opportunities
- A competitive salary package based on your unique expertise, skillset and impact on the product - Professional equipment and access to the necessary programs
- Flexible working hours
- 21 days of annual leave, 3 sick days
- Reimbursement of professional courses and trainings