Databricks Engineer - Senior/ Lead

Blend360; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Blend360 in Hyderabad is seeking an experienced Azure Databricks Engineer to design, build, and optimize scalable data pipelines on the Azure cloud. You will work with Python, SQL, and Spark to transform large datasets and support analytics and ML initiatives.

The role requires 6+ years in data engineering, strong Databricks and Delta Lake skills, and collaboration with data scientists and stakeholders. You will implement robust ETL/ELT processes, ensure data quality, and follow security and

Qualifications

• 6+ years of experience in Data Engineering.
• Strong hands-on experience with Azure Databricks.
• Proficiency in Python for data processing.
• Strong knowledge of SQL (joins, window functions, performance tuning).
• Hands-on experience with Apache Spark / PySpark.
• Experience working with Delta Lake.
• Knowledge of Azure Data Lake Storage (ADLS Gen2).
• Understanding of distributed computing concepts.
• Experience with Git version control.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Implement ETL/ELT workflows using PySpark, Spark SQL, and Python.
• Optimize Spark jobs for performance, cost, and scalability.
• Work with structured and semi-structured data (Parquet, Delta, JSON, CSV).
• Build and manage Delta Lake tables (ACID, time travel, schema evolution).
• Integrate Databricks with Azure Data Lake Storage (ADLS Gen2).
• Develop complex queries and transformations using SQL.
• Collaborate with data scientists, analysts, and stakeholders to support analytics and ML use cases.
• Ensure data quality, validation, and monitoring.
• Follow best practices for security, access control, and governance in Azure.

Skills

Azure Databricks

Python

SQL

Apache Spark / PySpark

Delta Lake

Azure Data Lake Storage

Git

Distributed computing

Tools

Azure Data Factory

Job description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visitwww.blend360.com .

Job Description

We are looking for an experiencedAzure Databricks Engineerwith strong hands-onexpertiseinPython, SQL, and Apache Sparkto design, build, andoptimizescalable data pipelines and analytics solutions on theAzure cloud platform. The ideal candidate should have experience working with large datasets, distributed data processing, and modern data engineering practices.

Responsibilities

• Design, develop, andmaintainscalabledata pipelines using Azure Databricks
• ImplementETL/ELT workflowsusingPySpark, Spark SQL, and Python
• OptimizeSpark jobs forperformance, cost, and scalability
• Work with structured and semi-structured data (Parquet, Delta, JSON, CSV)
• Build and manageDelta Laketables (ACID, time travel, schema evolution)
• Integrate Databricks withAzure Data Lake Storage (ADLS Gen2)
• Develop complex queries and transformations usingSQL
• Collaborate with data scientists, analysts, and stakeholders to support analytics and ML use cases
• Ensure data quality, validation, and monitoring
• Follow best practices for security, access control, and governance in Azure

Qualifications

• 6+ years of experience inData Engineering
• Strong hands-on experience withAzure Databricks
• ProficiencyinPythonfor data processing
• Strong knowledge ofSQL(joins, window functions, performance tuning)
• Hands-on experience withApache Spark /PySpark
• Experience working withDelta Lake
• Knowledge ofAzure Data Lake Storage (ADLS Gen2)
• Understanding of distributed computing concepts
• Experience with Git version control

Additional Information

• Experience withAzure Data Factory
• Basic understanding ofdatamodeling
• Familiarity withcloud security and RBAC in Azure
• Exposure tostreaming data(Spark Structured Streaming, Event Hub, Kafka)