Senior Business Intelligence Engineer
6 days ago
We are seeking a highly skilled Senior Business Intelligence Engineer to join our team at ADCI HYD 13 SEZ. As a key member of our transportation controllership team, you will play a critical role in expanding our financial data and reporting systems to support our global transportation network.
Key Responsibilities- Design and implement scalable reporting solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, and ad-hoc data requests.
- Partner with stakeholders from business, product, and operations teams to define priority of BI projects, and reporting/program management for BI projects.
- Lead high-impact BI projects, performing deep-dives to derive actionable insights, creating models to predict outcomes and optimize business processes.
- Build self-service reporting tools and dashboards, providing SQL support, and delivering trainings (SQL, QuickSight, etc.).
- Research the most appropriate methodologies for a given analytical problem, contribute to key business documents, and architect and develop scalable data pipelines.
- Develop new data models and end-to-end data pipelines, lead reviews for other BI Engineers on the team, and actively participate in design reviews of related tech products.
- Provide technical and thought leadership for Business Intelligence and Data Engineering, create and implement Data Governance strategy for mitigating privacy and security risks, and interface with multiple finance and accounting customers, gathering requirements and delivering complete solutions.
Our Trans Controllership in Finance team is one of the most challenging and exciting spaces to work for, with new geographies, new modes, and new carriers being launched every day, and being required to seamlessly integrate with the Transportation technical systems for automatic ingestion of Freight invoices, thorough auditing, timely payment, and for proper accounting to keep our books clean and accurate.
Requirements- 5+ years of SQL experience.
- Experience in scripting for automation (e.g., Python) and advanced SQL skills.
- Experience programming to extract, transform, and clean large (multi-TB) data sets.
- Experience building measures and metrics, and developing reporting solutions.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience working directly with business stakeholders to translate between data and business needs.
- Knowledge of data warehousing and data modeling.
- Working experience in CDK.
- Experience in discovering business requirements and creating insightful dashboards tailored for various levels of the organization, including senior leadership.
- Experience operating large data warehouses.
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions, and data engineering strategy.
- Experience providing technical leadership and mentoring other engineers for best practices on BI.
- Strong understanding of system performance and scaling.
- Knowledge on LLM and Gen Ai.
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