Customer Data Platforms Data Engineer
... + years of experience as a Data Engineer 5+ years of expertise in implementing and optimizing Customer Data Platforms 5+ years of exposure ...
Senior Data Engineer.
Місто :
, Kyiv,
Компанія :
Star
Зарплата :
Знайдено :
13 днів тому
Опис
Senior Data Engineer; HybridWe are looking for you!As we architect the next wave of data solutions in the AdTech and MarTech sectors, we're looking for a Senior Data Engineer—a maestro in data architecture and pipeline design. If you're a seasoned expert eager to lead, innovate, and craft state-of-the-art data solutions, we're keen to embark on this journey with you.Skills and experience you can bring to this roleQualifications & experience:6+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects;Mastery in Python, SQL, Snowflake, and BigQuery;Deep understanding and practical application of data warehouse concepts;Extensive experience with data pipeline and workflow management tools;Experience with modern Scrum-based Software Development Life Cycle (SDLC);Deep understanding of Git and its workflows;Open to collaborating with data scientists and businesses;Understand marketing and media metrics (i.e., what conversion rate is and how it is calculated).Nice to have:Proven expertise in handling and optimizing large-scale data;Familiarity with modern Scrum-based Software Development Life Cycle (SDLC);Comprehensive understanding of data governance principles and data quality management practices;Exceptional leadership, communication, and collaboration skills, with a knack for guiding and nurturing teams.Educational requirements:Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred. A Master's degree or higher is a distinct advantage.What impact you’ll make Lead the design, development, testing, and maintenance of scalable data architectures, ensuring they align with business and technical objectives;Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more;Oversee the implementation, management, and optimization of Snowflake and BigQuery databases, ensuring top-tier performance, security, and scalability;Champion the application of data warehouse concepts, managing vast data across a myriad of storage platforms;Collaborate intensively with data scientists, product teams, and other stakeholders to define 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 of data accuracy and reliability;Set the gold standard for data quality, introducing cutting-edge tools and frameworks to detect and address data inconsistencies and inaccuracies;Identify, design, and implement process improvements, focusing on data delivery optimization, automation of manual processes, and infrastructure enhancements for scalability.What you’ll get Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.Your holistic well-being is central at Star. You'll join a warm 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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