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Mid LevelFull-timePythonRustAWSAzureGitAI
Salary Range
$20,400 - $27,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join our team in India. This role focuses on designing and operating robust data pipelines that unify critical business data into a single, trusted analytics platform. You will play a central role in eliminating data fragmentation across Finance, Supply Chain, and Operations by building scalable, well-modeled datasets.
Key Responsibilities
- →Build and operate data pipelines from D365 F&O, D365 CE or CRM, Dataverse, and additional sources such as APIs, files, and SharePoint into the enterprise data platform
- →Design and implement star schemas, lakehouse structures, and semantic models consumed by Power BI and analytics users
- →Establish data quality checks, reconciliation rules, and lineage to ensure consistency across finance and operational reporting
- →Optimize performance and cloud costs through partitioning, indexing, caching, and storage tiering
- →Collaborate with the Data Architect to standardize ingestion and modeling patterns, including CDC, batch processing, and slowly changing dimensions
- →Support the creation of Power BI datasets and a limited number of critical Finance and Supply Chain dashboards as needed
Requirements
- ✓5+ years of experience as a data engineer working on the Microsoft data stack
- ✓Strong hands-on expertise with D365 entities, Dataverse, Azure Data Factory or Fabric pipelines, Synapse or SQL DW, and Power BI
- ✓Advanced SQL skills and proficiency in at least one scripting language such as Python or PowerShell
- ✓Proven experience consolidating ERP and CRM data into a centralized analytical model
- ✓Ability to work directly with business stakeholders on metric definitions and reporting behavior
- ✓Strong analytical mindset, attention to data accuracy, and problem-solving skills
- ✓Comfortable operating across both back-end data engineering and analytics enablement
Benefits
- ★Competitive compensation package
- ★Stock options
- ★Remote work options and flexible working hours
- ★Benefits exceeding statutory requirements
- ★Collaborative and trust-based work culture
- ★Access to mentorship, continuous learning, and professional growth opportunities
