As a Senior Data Engineer, you will be instrumental in shaping the future of our data analytics backend, collaborating within a dynamic agile environment and leveraging our state-of-the-art cloud infrastructure.

You will define and uphold critical development and architectural standards, serving as a trusted expert who consults and proposes innovative data solutions across diverse teams and projects. A key aspect of your role will be to partner strategically with Data Architects and the SI Data Cloud teams, aligning on overarching data analytic concepts and architecture to continuously elevate the SI Data Cloud platform. Furthermore, you will act as a vital internal consultant for incoming data-driven use cases across our portfolios, working hand-in-hand with DevOps teams to ensure the seamless implementation and deployment of new solutions.

Key Responsibilities

• Lead the design, development, and implementation of scalable ELT/ETL processes to prepare data for advanced analytics and reporting.
• Architect and optimize robust data pipelines to ensure efficiency, reliability, and scalability across diverse data sources (databases, APIs, third-party services).
• Establish and enforce comprehensive data quality frameworks, including automated validation, cleaning, and anomaly detection to maintain high data accuracy and consistency.
• Collaborate strategically with data analysts and data scientists to understand their data needs, translating requirements into effective data solutions and supporting data exploration, analysis, and model development.
• Transform raw, complex data into structured, business-ready formats suitable for various analytical applications.

Technical Skills & Expertise

• Data Warehousing: Expert in Snowflake design, implementation, and optimization.
• Data Transformation: Advanced proficiency with dbt (data build tool) for data modeling, pipeline development, and quality assurance.
• Data Visualization & BI: Mastered Power BI for creating impactful dashboards, reports, and supporting data-driven decision-making.
• Database & Querying: Expert SQL skills for complex data manipulation, schema design, and performance tuning; experience with various database management systems
• Data Quality: Strong capabilities in data validation, cleaning, and anomaly resolution.
• Methodologies: Proficient in Agile (Scrum, SAFe) development practices.
• Communication: High-level English proficiency for effective technical and business communication.