Data Engineer - ML & AI (Bengaluru)

Data Engineer - ML & AI (Bengaluru)

06 Nov
|
ADM
|
Bengaluru

06 Nov

ADM

Bengaluru

About ADM: We are one of the world's largest nutrition companies and a global leader in human and animal nutrition. We unlock the power of nature to provide nourishing quality of life by transforming crops into ingredients and solutions for foods, beverages, supplements, livestock, aquaculture, and pets.

About ADM India Hub:
At ADM, we have long recognized the strength and potential of India's talent pool, which is why we have maintained a presence in the country for more than 25 years. Building on this foundation, we have now established ADM India Hub, our first GCC in India.
At ADM India Hub, we are hiring for IT and finance roles across diverse technology and business functions. We stand at the intersection of global expertise and local excellence, enabling us to drive innovation and support our larger purpose of unlocking the power of nature to enrich quality of life.

We are seeking an experienced Data Visualization Developer with deep expertise in Power BI to design, develop, and optimize enterprise-grade dashboards and reporting solutions. This role requires robust UI/UX expertise, data modeling skills, and a deep understanding of performance optimization, security, and enterprise data platforms such as Databricks, SAP Datasphere, and EDW solutions.
Data Visualization & UI/UX Development:
Design and develop highly interactive, scalable, and visually compelling dashboards using Power BI with a strong focus on user experience (UX), storytelling, and self-service analytics enablement.
Optimize report performance by implementing productive DAX measures and best-in-class visualization techniques.
Ensure UI/UX best practices, accessibility, and consistency across enterprise reporting solutions.

Data Modeling & Integration:
Architect and implement efficient, scalable data models while adhering to best practices for structured and semi-structured data.
Integrate and transform large datasets from Databricks, SAP Datasphere,



EDW solutions, and other cloud platforms for optimal performance.
Develop and maintain semantic layers and metadata models for optimized data consumption.

Performance Optimization & Platform Engineering:
Conduct performance tuning of reports, queries, and models to ensure fast, responsive, and high-performance BI solutions.
Work closely with data engineers and architects to improve query execution times, caching mechanisms, and overall system efficiency.
Implement enterprise-grade security models, including row-level security (RLS), object-level security (OLS), and data access controls.
Ensure all BI solutions comply with data governance policies, security protocols, and regulatory standards.
Champion data quality, lineage, and governance frameworks to maintain trusted, accurate reporting.

Define and monitor key performance indicators (KPIs) for business units and deliver intuitive, data-driven storytelling dashboards.
2+ years of hands-on experience in enterprise BI development, including Power BI at an expert level.

- Strong UI/UX expertise, including data storytelling, design thinking, and interactivity in BI dashboards.
- Hands-on experience in data modeling and transformation, particularly in Databricks, SAP Datasphere, and cloud-based data warehouses (EDW solutions).
- Proficiency in performance optimization techniques for large-scale datasets and complex BI queries.
- Solid experience in data security frameworks, including row-level security (RLS), identity management, and access control within BI tools.
- Strong communication and stakeholder engagement skills, with the ability to convey technical concepts to non-technical audiences.
- Certifications in Power BI (preferred).

Knowledge of DevOps for BI (CI/CD pipelines for Power BI).
Knowledge of AI/ML-driven analytics, predictive modeling, and natural language querying (NLQ) in BI tools.
Familiarity with Agile development methodologies, JIRA, and enterprise project management tools.

📌 Data Engineer - ML & AI (Bengaluru)
🏢 ADM
📍 Bengaluru

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