BI Developer & Production Support Engineer The BI Developer & Production Support Engineer develops, enhances, and supports AdvanSix analytics products when citizen development is not feasible or production accountability must remain internal. This applies to two positions covering in-house development acceleration, production continuity, maintenance, and technical-debt reduction.

Key outcomes (what success looks like)

- High-quality dashboards and analytical applications delivered against certified data and acceptance criteria.
- Predictable production service through proactive monitoring, incident resolution, root-cause correction, and clear ownership.
- Reduced technical debt through refactoring, standardization, testing, documentation, automation, and disciplined releases.
- Successful transition of partner- and citizen-developed assets into governed production support.

Responsibilities

- Build accessible, executive-ready Power BI/Fabric dashboards, semantic models, reports, scorecards, and drill-through experiences using reusable standards.
- Develop and troubleshoot DAX, Power Query, SQL, calculations, transformations, APIs, dataflows, pipelines, notebooks, gateways, and deployment processes.
- Consume governed data from SAP BDC/Datasphere, Snowflake, Databricks, Fabric/Azure, enterprise APIs, and approved operational sources without duplicating business logic.
- Support conversational BI metadata, trusted datasets, instructions, verified queries, permissions, and user experiences in Databricks Genie, Snowflake Cortex, Microsoft Copilot-enabled analytics, and SAP analytical AI.
- Execute requirements traceability, prototyping, reconciliation, testing, UAT, accessibility checks, release readiness, production validation, and knowledge transfer.
- Monitor freshness, semantic processing, warehouses/clusters, capacities, gateways, APIs, AI endpoints, audit logs, incidents, releases, consumption, and dependency changes.
- Apply Git, peer review, CI/CD, environment promotion, automated testing, runbooks,



incident/problem/change management, and service reporting.

Required qualifications

- 4 to 7+ years developing and supporting enterprise BI, analytics, or data products.
- Advanced Power BI, DAX, Power Query, SQL, semantic modeling, performance optimization, RLS, gateways, and deployment-pipeline experience.
- Production experience with at least one up-to-date data platform: Snowflake, Databricks, Microsoft Fabric/Azure, or SAP BDC/Datasphere.
- Experience with requirements, technical design, testing, UAT, release, incident, problem, change, access, capacity, consumption, and vendor-management processes.
- Working proficiency in Python, APIs, Git, CI/CD, monitoring, documentation, and cloud security concepts.

Preferred qualifications

- SAP S/4HANA and manufacturing/process-industry analytics.
- Snowflake Cortex, Databricks Genie, Copilot Studio, SAP Analytics Cloud/Joule, embedded analytics, or paginated reporting.
- Experience accepting vendor-built solutions, supporting citizen development, and reducing technical debt in mixed-delivery environments.

Expanded technology requirements

- Cross-platform architecture across Microsoft Fabric and Power BI, Snowflake, Databricks, and SAP Business Data Cloud, including workload placement, interoperability, semantic consistency, identity, networking, data movement, resiliency, and total-cost tradeoffs.
- SAP Business Data Cloud ecosystem: SAP Datasphere, SAP Analytics Cloud, SAP Databricks, SAP HANA Cloud, SAP Master Data Governance, SAP BW modernization, curated business data products, and governed third-party connectivity.
- Snowflake ecosystem: architecture and virtual warehouses, RBAC,



secure sharing, Snowpark, Streamlit, Cortex AI Functions, Cortex Analyst, Cortex Search, Cortex Agents, embeddings/vector patterns, observability, and consumption controls.
- Databricks ecosystem: lakehouse and medallion architectures, Delta Lake, Unity Catalog, Lakeflow, SQL Warehouses, notebooks, MLflow, Model Serving, vector search, AI/BI dashboards, Genie Agents, and governed business semantics.
- Microsoft ecosystem: Power BI and Fabric semantic models, Direct Lake, OneLake, lakehouse/warehouse, pipelines, notebooks, Copilot Studio, Azure AI services, APIs, deployment pipelines, monitoring, and capacity management.
- Engineering and governance: advanced SQL, Python, REST APIs, OAuth/service principals, secrets management, Git and CI/CD, automated testing, metadata, lineage, data quality, FinOps, privacy, cybersecurity, and Responsible AI controls.
- Platform-neutral design using approved open formats, APIs, reusable data contracts, portable business definitions, and documented integration boundaries to limit avoidable lock-in.
- Operational depth across Power BI/Fabric, Snowflake warehouses and Cortex services, Databricks SQL/compute and Genie, SAP BDC/Datasphere/SAC, APIs, gateways, identities, schedules, and monitoring.
- Performance and cost optimization across DAX/semantic models, SQL queries, data refresh, warehouses, clusters, capacity, storage, network movement, and AI inference consumption.

Core competencies

- Delivery orientation and practical problem solving.
- Operational ownership and root-cause discipline.
- Data storytelling for operational and executive audiences.
- Engineering quality, reuse, testing, security, and maintainability.
- Effective collaboration with business owners, partners, architects, and citizen developers.

Mission Accelerate priority BI delivery and keep cross-platform analytics and conversational BI reliable, maintainable, secure, cost-aware, and well documented.

📌 BI Developer (Hyderabad)
🏢 Qentelli
📍 Hyderabad