YOUR SKILLS AND EXPERIENCE

• 8+ years of professional experience.
• University degree in Computer Related Sciences or a similar field.
• 6+ years of experience working in business intelligence, data analytics, data engineering, or a similar role.
• Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3Nf, data vault).
• Proficiency in a programming language such as Python or Scala.
• Experience building reporting and dashboarding solutions using data lake/Snowflake or a similar ecosystem.
• Expert in database fundamentals, SQL, and performance tuning.
• Experience in maintaining data integrity and reliability by bringing to bear data quality frameworks and orchestration tools for seamless pipeline execution.
• Excellent communication skills and experience working with technical and non-technical teams.
• Comfortable working in a fast-paced environment, self-starter, and self-organizing.
• Ability to think strategically, analyze, and interpret market and consumer information.

• Acquire tasks from the project lead or Team Lead (TL), prepare functional and design specifications, and approve them with all collaborators.
• Ensure assigned areas are delivered within set deadlines and required quality objectives.
• Provide estimations, agree on task duration with the manager, and contribute to the project plan of assigned areas.
• Analyze the scope of alternative solutions and make decisions about area implementation based on experience and technical expertise.
• We lead functional and architectural design of assigned areas, ensuring design decisions meet architectural and design requirements.
• Address area-level risks, provide, and implement mitigation plans.
• Report about area readiness/quality, and raise red flags in crisis situations beyond AOR and resolve crisis situations within AOR.
• Design, develop, and maintain robust data models to support analytical and product data needs across the organization.
• Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance.
• We take ownership of and define critical metrics for the business, including their measurement plans, data requirements, and reporting.
• Design, develop, and implement large-scale, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse.
• Initiate and conduct code reviews, build code standards, conventions, and guidelines and suggest technical and functional improvements to add customer value to the product.
• Collaborate with other teams to achieve project goals.