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Data Engineer
Senior
All, Armenia, Cyprus, Kazakhstan, Poland
TATECH-17781
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field;
- 5+ years of experience in data engineering roles;
- Strong proficiency in Python and SQL;
- Extensive experience with AWS data services, including Athena, Glue, Redshift, and S3;
- Hands-on experience with Apache Airflow for workflow orchestration;
- Proficiency in working with big data technologies (e.g., Hadoop, Spark);
- Experience with data warehousing solutions, particularly Snowflake;
- Familiarity with ClickHouse for high-performance analytics;
- Knowledge of the Elastic stack (Elasticsearch, Logstash, Kibana) for log analytics and search;
- Strong understanding of data modeling, ETL processes, and data pipeline architectures;
- Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).
- Experience in the gambling or gaming industry;
- Familiarity with graph databases (e.g., Neo4j);
- Knowledge of machine learning pipelines and MLOps;
- Experience with data governance and compliance in regulated industries;
- Proficiency in Scala or Java for big data processing;
- Familiarity with DataOps practices.
- Excellent problem-solving and analytical thinking;
- Strong communication skills, able to explain complex data concepts to non-technical stakeholders;
- Proactive approach to identifying and resolving data quality issues;
- Ability to work effectively in cross-functional teams;
- Attention to detail and commitment to data integrity;
- Self-motivated with the ability to manage multiple projects and priorities.
- Design, implement, and maintain scalable data pipelines using AWS services and other technologies;
- Integrate data from various sources, ensuring data quality, consistency, and accessibility;
- Optimize data warehouse structures and query performance in Snowflake and ClickHouse;
- Develop and maintain Airflow DAGs for complex ETL workflows;
- Implement real-time data streaming solutions for high-velocity data;
- Create and maintain data visualizations and dashboards using tools like Kibana;
- Collaborate with data scientists and analysts to support their data needs;
- Implement data security and access control measures;
- Optimize data storage and processing costs on AWS;
- Troubleshoot data pipeline issues and perform root cause analysis;
- Stay current with the latest developments in data engineering and big data technologies;
- Contribute to data architecture decisions and best practices;
- Mentor junior data engineers and promote knowledge sharing within the team.
- Programming Languages: Python (primary), SQL, Shell scripting;
- Cloud Platform: AWS (primary);
- AWS Services: Athena, Glue, Redshift, S3, EMR, Kinesis, Lambda;
- Data Warehousing: Snowflake, Amazon Redshift;
- Big Data: Apache Spark, Hadoop ecosystem;
- Workflow Orchestration: Apache Airflow;
- Analytics Databases: ClickHouse;
- Search and Analytics: Elastic stack (Elasticsearch, Logstash, Kibana);
- Data Streaming: Apache Kafka or Amazon Kinesis;
- Version Control: Git;
- CI/CD: Jenkins, GitLab CI, or GitHub Actions;
- Containerization: Docker (basic knowledge);
- Data Visualization: Kibana, Amazon QuickSight;
- Monitoring and Logging: CloudWatch, Prometheus, Grafana.
- 🍀An exciting and challenging job in a fast-growing product ecosystem, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc.;
- 🤝Great working atmosphere with passionate IT experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;
- 📍Beautiful offices in Kyiv, Warsaw, Limassol, Almaty, Yerevan - work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;
- 🧑💻Laptop & all necessary equipment for work according to the ecosystem standards;
- 🏖Paid vacations, personal events days, days off;
- 🫖Paid sick leave;
- 👨⚕Medical insurance;
- 💵Referral program — enjoy cooperation with your colleagues and get the bonus;
- 📚Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;
- 🗣Free internal English courses;
- 🤸♀Sport benefit;
- 🦄Multiple internal activities: online platform with newsletters, quests, gamification and presents for collecting bonuses, PIN-UP talks club for movie and books lovers, board games cozy evenings, special office days dedicated to holidays, etc.;
- 🎳Company events, team buildings.
— Do you want to fulfill your dream? Take your career to the next level with PIN-UP — create trends, don’t follow them.
Oksana Izmailova
CHRD PIN-UP GLOBAL