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Senior Data Engineer in STAR

Posted more than 30 days ago

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STAR

STAR

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Senior Data Engineer Київ, Вроцлав (Польща), віддалено Weare looking for you! Aswearchitect the next wave ofdata solutions inthe AdTech and MarTech sectors, we’re looking for aSenior Data Engineer—a maestro indata architecture and pipeline design. Ifyou’re aseasoned expert eager tolead, innovate, and craft state-of-the-art data solutions, we’re keen toembark onthis journey with you. Skills and experience you can bring tothis role Qualifications &experience: 6+years ofintensive experience asa
Senior Data Engineer Київ, Вроцлав (Польща), віддалено Weare looking for you! Aswearchitect the next wave ofdata solutions inthe AdTech and MarTech sectors, we’re looking for aSenior Data Engineer—a maestro indata architecture and pipeline design. Ifyou’re aseasoned expert eager tolead, innovate, and craft state-of-the-art data solutions, we’re keen toembark onthis journey with you. Skills and experience you can bring tothis role Qualifications &experience: 6+years ofintensive experience asaData Engineer orinasimilar role, with ademonstrable track record ofleading large-scale projects; Mastery inPython, SQL, Snowflake, and BigQuery; Deep understanding and practical application ofdata warehouse concepts; Extensive experience with data pipeline and workflow management tools; Experience with modern Scrum-based Software Development Life Cycle (SDLC); Deep understanding ofGit and its workflows; Open tocollaborating with data scientists and businesses; Understand marketing and media metrics ( i.e., what conversion rate isand how itiscalculated ). Nice tohave: Proven expertise inhandling and optimizing large-scale data; Familiarity with modern Scrum-based Software Development Life Cycle (SDLC); Comprehensive understanding ofdata governance principles and data quality management practices; Exceptional leadership, communication, and collaboration skills, with aknack for guiding and nurturing teams. Educational requirements: Bachelor’s degree inComputer Science, Information Systems, orarelated discipline ispreferred. AMaster’s degree orhigher isadistinct advantage. What impact you’ll make Lead the design, development, testing, and maintenance ofscalable data architectures, ensuring they align with business and technical objectives; Spearhead the creation ofsophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such asData Shares, Snowpipe, Snowpark, and more; Oversee the implementation, management, and optimization ofSnowflake and BigQuery databases, ensuring top-tier performance, security, and scalability; Champion the application ofdata warehouse concepts, managing vast data across amyriad ofstorage platforms; Collaborate intensively with data scientists, product teams, and other stakeholders todefine and fulfill intricate data requirements for cross-channel budget optimization solutions; Drive initiatives for new data collection, refining existing data sources, and ensuring the highest standards ofdata accuracy and reliability; Set the gold standard for data quality, introducing cutting-edge tools and frameworks todetect and address data inconsistencies and inaccuracies; and Identify, design, and implement process improvements, focusing ondata delivery optimization, automation ofmanual processes, and infrastructure enhancements for scalability. What you’ll get Regardless ofyour position orrole, wehave awide array ofbenefits inplace, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) tomake iteasier for all people tothrive and succeed atStar. Ontop ofthat, weoffer anextensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities. Your holistic well-being iscentral atStar. You’ll join awarm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.
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