Senior Data Engineer – EPAM Systems – Copenhagen

Python (advanced) Kafka (advanced) Spark (advanced) SQL (advanced) Data (advanced) EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. DESCRIPTIONWe are currently looking for Senior Data Engineer to join Data Practice team and work with EPAM strategic clients. As Senior Data Engineer you will be building data systems and applications to support decision making. You will focus on developing and maintaining data pipelines in public clouds like AWS, Azure or GCP. You will be participating in data migration from on-premise to public clouds and building components for central enterprise data platforms. You can work remotely or join one of our offices, which are located in Warsaw, Krakow, Katowice, Wroclaw and Gdansk. The remote option applies only to the Candidates who will be working from any location in Poland.We are supporting Employment Contract or B2B, depending on your preferences. RESPONSIBILITIES Contributing to the success of our customer projectsBuild data platform solutions in CloudsDevelopment of data pipelines and migration of dataDesign and implementation of new business requirements REQUIREMENTS Bachelor’s degree in Computer Science, Mathematics, related technical field or equivalent practical experience4+ years of direct experience working in Enterprise Data Platforms technologiesExperience with public cloud (AWS, Azure or GCP) as well as with on prem data technologiesExperience in data acquisition (API calls/FTP downloads), ETL, transformation/normalization (from raw to DB table schema structure), storage (Raw files, Database server), distribution & access (Entitlements for users, build of API’s and access points for data)Proficient in ETL/ELT processExperience building components for central data platforms for enterprise use (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries)Hands-on experience with SQL, Python, Spark, KafkaWE OFFERTeam & working conditions:Friendly team and enjoyable working environment Engineering community of industry’s professionals Flexible schedule and opportunity to work remotely Relocation within our offices Corporate and social events Benefits package (health insurance, multisport, shopping vouchers)Stable income:Employment Contract or B2B Regular assessments and salary reviews Participation in the Employee Stock Purchase Plan Referral bonusesCareer development:Innovative solutions delivery and engineering excellence Outstanding career roadmap Leadership development, career advising, soft skills and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, O’Reilly, Cloud Guru Language classes on English and Polish for foreigners

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