
Senior Data Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Poland, +3 more countries.
• Develop essential, resilient, and self-service data products utilizing Apache Spark, Kafka, Delta Lake, and various other big data technologies.
• Maintain pipeline efficiency and ensure data integrity through scalable architecture and optimization techniques.
• Adapt data solutions in response to evolving business needs and technical limitations.
• Work collaboratively with teams to identify data requirements and promote the adoption of data products throughout the organization.
• Utilize modern data stacks and AI tools to create sophisticated solutions.
• Design solutions to address technical challenges and shape platform architecture.
• Explore, develop, and incorporate new data processing tools and technologies.
• Over 5 years of software engineering experience with a focus on development, deployment, and integration.
• Proficiency in at least one high-level programming language (Scala, Java, Python, or similar).
• Experience in data environments, including Data Lakes, Data Warehouses, Data Marts, data transformation concepts, and handling large data volumes.
• Proven experience in constructing ETL pipelines for feature engineering on large-scale datasets using Apache Spark and Delta Lake.
• Familiarity with sourcing and modeling data from application APIs.
• Experience in building stream-processing applications with Spark-Streaming, Kafka Streams, or similar technologies.
• Background in designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager, or others.
• Strong analytical and problem-solving capabilities.
• Upper-intermediate proficiency in English and strong command of Russian.
• A Master’s, PhD, or equivalent experience in Software Engineering, Mathematics, or Computer Science (preferred).
• Private health insurance.
• Sports benefits.
• Comprehensive Mental Health Program.
• Free online English lessons.
• Local language courses.
• Paid time off.
• Support for maternity leave.
• Rewards for the referral program.
• Opportunities for upskilling, participation in internal workshops, and involvement in professional conferences and corporate events.
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