AI / BI Data Engineer (Offshore)
- Compensation
- Not disclosed
- Location
- Ahmedabad, GJ, IN
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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 (c
- 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, v
Nice to have
- Working knowledge of Python for data engineering, automation, or notebook‑based workflows Experience working in a global or offshore delivery model Knowledge of Delta Lake, data validation, or data ob
- 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 refre
- #LI-KR1
Full description
AI / BI Data Engineer (Offshore)
Location: India (Offshore)Department: Global IT – BI & AIReports 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 end‑to‑end 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