● **Product Strategy & Roadmap:** Partner with Product Managers, Business Analysts, and key stakeholders (Finance, Operations) to define the vision, strategy, and roadmap for critical data products. ● **Requirements & Design:** Translate high-level business objectives and user needs into detailed, clear, and actionable data requirements, architecture, and technical designs for data products. ● **Data Pipeline Development:** Design, build, and maintain highly scalable and reliable ETL/ELT data pipelines using modern cloud tools (e.g., Azure Data Factory, AWS Glue, Databricks, PySpark) to integrate diverse data sources. ● **Data Modeling & Warehousing:** Develop and optimize performant data models (Star/Snowflake schema) in cloud data warehouses (e.g., Snowflake, BigQuery, Synapse) with a focus on data quality, governance, and compliance. ● **Quality & Governance:** Implement data quality checks, data lineage tracking (e.g., dbt), and robust testing to ensure the accuracy and trustworthiness of all delivered data products. ● **Visualization & Adoption:** Lead the delivery of BI solutions (e.g., Power BI, Tableau), ensuring dashboards and reports are intuitive, accurate, and drive measurable business decisions. ● **Deployment & Operations:** Utilize Agile methodologies and CI/CD practices (e.g., GitHub, Azure DevOps, Jenkins) to deploy, monitor, and optimize data products, ensuring high availability and cost efficiency. ● **Mentorship & Collaboration:** Act as a technical leader, mentoring junior team members and fostering a culture of data-as-a-product within the organization.

• Build the Future of Data & Intelligence at Ethics Code • Empower global clients through high-performance engineering and a culture of relentless innovation. • Work under guidance of senior engineers to translate business needs into technical solutions. • Write clean, testable code in C# and Python, manage unit testing and deep debugging. • Model, wrangle, and visualize large datasets using SQL and NoSQL. • Create modern web interfaces using React, leverage cloud services.

• Lead application development of a desktop and web app DaaS/SaaS geospatial platform • Collaborate with geomatics team • Contribute to all phases of the software development lifecycle • Develop and manage databases and applications • Write effective APIs • Test, troubleshoot, debug and upgrade software • Manage security and data protection modes

• Solve business needs at scale by applying software engineering and analytical problem-solving skills. • Design and build robust, scalable, and highly available distributed infrastructure. • Lead cross-functional initiatives, collaborating with engineers, product managers, and technical program managers across teams. • Share experiences with open source communities and contribute to Netflix OSS. • Develop integrations with data SaaS platforms and first party infrastructure. • Support integrations with Research, A/B testing and experimentation systems for sampling and allocation protocols. • Develop libraries and SDKs to extend core functionality to new systems. • Enable Data Scientists by developing scalable methods, utilities and applications. • Partner with other Data Engineers & Software Engineers to make data available for self-service and wider integration.