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Datavail

Senior Technical Specialist – Databricks

Datavail

Senior Technical Specialist responsible for data engineering and reporting solutions using Azure Databricks. Collaborating with teams to design and build data pipelines and models.

Posted 7/21/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in data engineering with a strong focus on Azure Databricks, proficient in building scalable data pipelines using PySpark, Spark SQL, and Delta Lake. Expertise in dimensional modeling and data warehousing concepts, ensuring data accuracy and compliance with audit standards.

Highest-signal resume keywords
Azure DatabricksPySparkSpark SQLDelta LakeDimensional Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringDimensional ModelingData WarehousingSQL ServerStored ProceduresIncremental Data ProcessingChange Data CapturePerformance OptimizationTransactional Fact DesignConformed Dimensions

Tech Stack

Tools & technologies
AzureDistributed SystemsPySparkSparkSQL

About the role

Key responsibilities & impact
  • Design and build conformed dimensions and transactional fact tables for enterprise reporting.
  • Develop and maintain data pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake.
  • Implement best practices in dimensional modeling, including:
  • - Star schemas
  • - Conformed dimensions
  • - Surrogate and deterministic hash keys (e.g., SHA-256)
  • - Transactional fact design
  • Translate existing SQL Server and stored procedure logic into efficient Spark-based transformations.
  • Implement incremental data processing and change data capture (CDC) pipelines.
  • Ensure data reconciliation with source systems to meet accuracy and audit standards.
  • Collaborate closely with a senior Databricks lead to deliver core data assets within defined timelines.

Requirements

What you’ll need
  • 8+ years of experience in data engineering, with strong focus on Azure Databricks.
  • Proficiency in:
  • - PySpark
  • - Spark SQL
  • - Delta Lake
  • Deep expertise in dimensional modelling and data warehousing concepts.
  • Experience with:
  • - Building scalable production pipelines
  • - Incremental data loads and CDC patterns
  • - Performance optimization in distributed systems
  • Strong understanding of relational databases and ability to interpret complex SQL/stored procedures.

Benefits

Comp & perks
  • None specified 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score