Location: India (Offshore)

Department: Global IT – BI & AI

Reports To: BI / AI Manager – Global IT

Position Summary

Milacron is seeking an AI/BI Data Engineer to build and support production-grade data pipelines and analytics data products that power enterprise reporting, KPI measurement, and AI-enabled insights.

The ideal candidate is hands-on in Databricks/Spark and SQL, comfortable working across ingestion, transformation, and modeling, and able to partner with business and system teams to translate requirements into reliable datasets and Power BI-ready semantic models.

Key Responsibilities

Data Engineering & Platform Development

Design, develop, and maintain endtoend data pipelines using Azure Data Factory, Azure Databricks, and SQL
Implement and support Bronze, Silver, and Gold transformations using lakehouse and medallion architecture patterns
Ingest, transform, and integrate data from ERP, CRM, and operational systems
Optimize data pipelines for performance, reliability, and cost
Monitor, troubleshoot, and support production data workflows

Analytics, Data Modeling & Semantic Enablement

Design and implement analytical data models (fact/dimension, star schema) with clearly defined grain, keys, and relationships
Create curated datasets and semantic-ready data domains that standardize KPI logic and business rules
Ensure consistent metric definitions and data logic across sources to support enterprise reporting and analytics
Partner with stakeholders to validate requirements, definitions, and acceptance criteria for analytics deliverables

Power BI Development & Support

Develop and support Power BI semantic models, datasets, and reports aligned to enterprise data standards
Troubleshoot and optimize refresh reliability, model performance, and data-related reporting issues
Provide end-user and stakeholder support, including issue triage, root-cause analysis, and clear documentation

AI-Assisted & Agent-Enabled Data Engineering

Enable AI-assisted analytics and agent-driven use cases by delivering well-modeled, well-documented datasets and clear schemas
Use LLM-powered tools to accelerate code scaffolding, documentation, and pattern development; ensure all outputs are reviewed, tested, and production-ready
Support lightweight automation/agent workflows for well-defined tasks within approved guardrails and controls

Data Quality, Governance & Operations

Implement data quality rules, validation checks, and reconciliation tests to ensure dataset accuracy and completeness
Apply logging, monitoring, and basic observability so pipelines and automated workflows are reliable and auditable
Follow Azure security and access-control practices, including role-based access control (RBAC)
Document pipelines, transformations, models, and KPI logic for traceability, lineage, and support
Participate in CI/CD and release processes using Azure DevOps

Collaboration & Teaming

Work with a variety of teams, including data, system, and business teams, to understand requirements and deliver reliable data solutions
Collaborate with onshore and offshore teammates, following established standards and designs, and communicate clearly to ensure solutions are understandable, repeatable, and maintainable

Required Qualifications

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field
3+ years of experience in data engineering, analytics engineering, or BI engineering
Strong SQL skills (complex joins, transformations, performance tuning)
Experience designing analytical data models (e.g., fact and dimension tables) that support KPI calculation, reporting, and semantic layers
Hands-on experience with:

Azure Databricks
Azure Data Factory or similar orchestration tools
Lakehouse/medallion architecture patterns

Experience working with Apache Spark (Spark SQL and/or PySpark) in a Databricks environment
Experience developing or supporting Power BI datasets, semantic models, or reports
Familiarity with CI/CD, version control, and production support practices
Strong problem-solving, communication, and documentation skills

Preferred Qualifications

Working knowledge of Python for data engineering, automation, or notebookbased workflows
Experience working in a global or offshore delivery model
Knowledge of Delta Lake, data validation, or data observability concepts
Exposure to AIassisted analytics, conversational BI, or agentbased workflows
ERP or CRM data experience (e.g., JD Edwards, Salesforce)
Azure or Databricks certifications (e.g., DP203 or equivalent)
Experience building lightweight data applications or dashboards (e.g., Power BI, Databricks SQL dashboards, notebooks, or lowcode apps) to support analytics or business workflows is a plus

What Success Looks Like

Production data pipelines are reliable, monitored, and well documented
Analytics data models and semantic domains consistently support enterprise KPIs and reporting
Power BI datasets and reports refresh reliably and perform well for end users
Data quality and validation reduce defects and improve trust in reporting
Stakeholders receive timely support, clear communication, and actionable documentation
Data products are ready to support AI-assisted analytics and controlled agent-enabled workflows

Who We Are

Milacron is a global leader in the manufacture, distribution and service of highly engineered and customized systems within the $27 billion plastic technology and processing industry. We are the only global company with a full-line product portfolio that includes hot runner systems, injection molding, extrusion equipment. We maintain strong market positions across these products, as well as leading positions in process control systems, mold bases and components, maintenance, repair and operating (MRO) supplies for plastic processing equipment. Our strategy is to deliver highly customized equipment, components and service to our customers throughout the lifecycle of their plastic processing technology systems.

Eeo

The policy of Milacron is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. We are committed to being an Equal Employment Opportunity (EEO) Employer and offer opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [HIDDEN TEXT]. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

AI / BI Data Engineer (Offshore)