LDS Infotech Pvt Ltd
Website:
ldsinfotech.com
Company:
https://www.linkedin.com/company/lds-infotech-pvt-ltd
Industries: IT Services and IT Consulting
Job details:
Company: LDS Infotech Pvt. Ltd.
Location: Head Office (Mumbai)
Department: Technology / Data & Analytics
Reporting To: Technical Head
Experience: 4–7 Years
Employment Type: Full-Time
About the Role:
We are looking for an experienced Data Engineer with strong expertise in Microsoft Fabric, Azure Databricks, and modern Lakehouse architecture. The ideal candidate will be responsible for designing, building, and optimizing scalable enterprise data platforms, developing robust data pipelines, and enabling analytics solutions that support business decision-making.
Key Responsibilities:
- Data Engineering:
- Design and develop scalable ETL/ELT and data ingestion pipelines.
- Build enterprise-grade data transformation frameworks and reusable engineering components.
- Implement Lakehouse architecture using Microsoft Fabric and Azure Databricks.
- Ensure data quality, validation, governance, and performance optimization.
- Develop automated data processing workflows and engineering best practices.
- Microsoft Fabric:
Develop end-to-end solutions using:
- Microsoft Fabric Data Factory
- Fabric Lakehouse
- Fabric Warehouse
- Fabric Notebooks
- Semantic Models
- Dataflows
- Azure Databricks:
- Design and optimize Spark-based data pipelines.
- Develop and maintain Delta Lake tables and enterprise ETL processes.
- Implement workflow orchestration, data quality, and performance optimization using PySpark, Spark SQL, Delta Lake, and Unity Catalog.
- Analytics & BI Enablement:
- Develop dbt models and transformation workflows.
- Support business-ready datasets, semantic models, and optimized data marts.
- Collaborate with Power BI teams to improve reporting performance and analytics capabilities.
- Engineering Best Practices:
- Follow coding standards, Git version control, CI/CD practices, documentation, and code review processes.
- Drive performance tuning, reusable framework development, and technical knowledge sharing.
Required Technical Skills: SQL / Python / PySpark / Microsoft Fabric / Azure Data Factory / Azure Databricks / Delta Lake / dbt / Git.
Preferred Skills: Power BI & DAX / Data Quality Frameworks / Database Expertise.
Good understanding of: Data Modelling / Query Optimization / Performance Tuning / Incremental Loading / Partitioning / Index Optimization
Preferred Certifications:
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
- Databricks Certified Data Engineer (Associate/Professional)
- dbt Fundamentals Certification
Desired Candidate Profile:
- 4–7 years of experience in Data Engineering.
- Strong expertise in Microsoft Fabric and Azure Databricks.
- Experience building enterprise-scale data platforms and Lakehouse solutions.
- Good understanding of modern ETL/ELT architecture and Agile methodologies.
- Strong analytical, troubleshooting, communication, and stakeholder management skills.
- Ability to work independently while collaborating effectively across cross-functional teams.
- Customer-focused with a strong commitment to delivering high-quality data solutions.
Why Join LDS Infotech?
- Opportunity to work on enterprise-scale Data & AI transformation projects.
- Exposure to Microsoft Fabric, Azure, Databricks, and modern analytics technologies.
- Collaborative environment with continuous learning opportunities.
- Career growth within a rapidly expanding Microsoft-focused technology organization.
- Opportunity to contribute to reusable accelerators and innovative data engineering solutions.
Click on Apply to know more.