JD:
Position Summary
We are seeking an Azure Databricks Senior Developer to design, build, and optimize cloud-native data
engineering solutions on Azure. This role will focus on developing scalable batch and streaming pipelines,
implementing robust data integration and transformation patterns, and contributing to data governance
and quality frameworks. The candidate will also lead and mentor engineers while supporting QA/UAT and
production implementation activities.
Required Skills
Technical (Must Have)
• Azure Databricks
• Azure Data Lake Storage (ADLS)
• Apache Spark (Core concepts and performance tuning)
• Scala
• SQL
• Data Streaming (e.g., Spark Structured Streaming and streaming design patterns)
Domain (Preferred)
• Healthcare domain experience (claims, clinical, eligibility, provider, member, HIPAA-aware handling
preferred)
Nice to Have
• Python / PySpark
• Azure (general platform knowledge)
Classification:
Internal
• MongoDB
Required Experience
• 5+ years of hands-on experience in Data Engineering / Data Warehousing development and operations.




• Proven experience designing and building enterprise-grade ETL/ELT pipelines on contemporary data
platforms.
• Strong experience with:
o Spark/Databricks development (Scala preferred)
o SQL-based transformations and performance tuning
o Streaming concepts and implementation patterns
• Experience working in Agile delivery models and collaborating with architects, analysts, and
upstream/downstream application teams.
Roles & Responsibilities
• Design and develop Azure cloud-native enterprise data solutions with emphasis on data integration,
transformation, and governance.
• Build solution designs and technical designs for data pipelines based on business and technical
requirements.
• Develop and standardize reusable plug-and-play components that can be orchestrated into:
o data ingestion patterns (batch/streaming)
o data flows across multiple zones (raw/curated/consumption as applicable)
o data quality frameworks and validatio

📌 Data Engineer- Databricks and SQL (Hyderabad)
🏢 HCL INDIA
📍 Hyderabad