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Data Engineer — Microsoft Fabric / Databricks
XCentium — India (Remote)
This is a Full-Time Remote position with a flexible work environment and great benefits! Apply today!
About Us
XCentium is an award-winning digital consultancy focused on DX, UX, Content, Commerce, CRM, Service and Cloud. We primarily work on Sitecore, Salesforce, Optimizely and Microsoft platforms.
XCentium is a leader in Salesforce Commerce, Salesforce B2B Commerce, OMS, CRM, Service, Marketing, Experience and Mule Soft and first company to achieve Salesforce Master Navigator for B2B Commerce globally.
We are a team of highly dedicated individuals, successful at delivering creative, new ideas that drive change for us and our clients. We build with heart, lead with excellence, and guide with expertise. Our team is growing, and we would love to hear from you!
Job Description
XCentium is seeking a Data Engineer with hands-on experience in Microsoft Fabric and/or Databricks to join our data practice. In this role, you will build and maintain data pipelines and lakehouse components for our clients, working within an established Medallion Architecture framework under the guidance of senior engineers and architects.
You will implement ingestion, transformation, and data quality logic across Bronze, Silver, and Gold layers, following architectural patterns defined by the team. You'll contribute to proof-of-concepts and production pipelines, growing your expertise in modern lakehouse engineering.
Core Qualifications
4+ years in data engineering or related data platform roles
Hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, notebooks) and/or Databricks (Workflows, notebooks)
Working knowledge of Delta Lake format
Experience writing PySpark for data transformation
Exposure to Power BI or other BI tools consuming curated data
Medallion Architecture
Ability to implement Bronze/Silver/Gold layer logic following established patterns
Experience with basic data quality checks and validation
Familiarity with CDC (Change Data Capture) concepts
Data Engineering & Integration
Proficiency with PySpark within Fabric or Databricks notebooks
Experience building ingestion pipelines using Azure Data Factory, Dataflows Gen2, or Databricks Autoloader
Exposure to source systems such as Salesforce, Oracle Service Cloud, or similar
Basic understanding of batch vs. real-time ingestion concepts
Collaboration Skills
Comfortable working in an agile, delivery-focused consulting environment
Ability to take direction from senior engineers/architects and execute reliably
Good communication skills for cross-functional collaboration
Nice to Have
Microsoft Fabric, Azure Data Engineer, or Databricks certification
Exposure to Microsoft Purview, Unity Catalog, or MDM platforms (e.g., Profisee)
Familiarity with CI/CD for data pipelines
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