Posted on: 15-09-2026

Experience: 8+ years

India-Bengaluru

Job ID #1002275

Role Requirements

- Skills: Azure, MS SQL Server, Databricks, Delta Lake, PySpark, Scala, ADLS, Microsoft Fabric, SSIS, Azure Data Factory, SSRS, Power BI, Data Modeling, Data Vault, Git.
- Design and architect end-to-end Business Intelligence and data solutions on Azure following industry best practices.
- Strong expertise in MS SQL Server and Azure data technologies.
- Hands-on experience with Databricks, Delta Lake, PySpark, Scala, Azure Data Lake Storage (ADLS), Microsoft Fabric, and related technologies.
- Develop, optimize, and maintain complex SQL queries, stored procedures, and enterprise data models.
- Strong knowledge of execution plans, deadlocks, blocking, and index tuning.
- Build and manage scalable ETL/ELT pipelines using SSIS and Azure Data Factory (ADF).
- Develop dashboards, reports, and analytics solutions using SSRS and Power BI.
- Experience with data modeling and Data Vault concepts.
- Experience implementing Git-based source control and branching strategies for data pipelines.
- Own and document end-to-end solution architecture, including data flow diagrams, ERDs, and TRDs.




- Experience with data governance, data quality, data lineage, data ownership, cataloguing, security, and policy enforcement.
- Experience with Azure compute and storage tiering strategies for cost optimization.
- Strong stakeholder-facing communication skills with experience in estimation and roadmap planning for data initiatives.
- Provide technical guidance and contribute to architecture and solution design decisions.
- Review technical solutions and provide recommendations for performance, scalability, and reliability.
- Collaborate with business and technical stakeholders to understand requirements and deliver scalable data solutions.
- Experience with AI/ML platform concepts, including ML pipelines and Azure ML/MLflow integration with Databricks, is positive to have.
- Knowledge of DBT (Data Build Tool) and transformation-layer concepts is preferred.
- Experience designing High Availability and Disaster Recovery solutions for data platforms is preferred.
- Familiarity with observability tools such as Grafana, Elastic, or Splunk is preferred.

📌 Data Engineer (ETL) (Bengaluru)
🏢 Kalpita Technologies
📍 Bengaluru