Sr Software Engineer - Azure Databricks Job

YASH Technologies Middle East

Hyderabad

On-site

INR 2,600,000 - 4,200,000

Full time

5 days ago
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Job summary

YASH Technologies in Hyderabad is seeking a Senior Software Engineer to design and deliver enterprise-grade data engineering solutions on Azure Databricks, Spark, and Azure-native services. The role focuses on BI, analytics, and digital transformation initiatives.

The candidate will build data pipelines, optimize ETL/ELT processes, and implement modern Lakehouse architectures using Delta Lake. Strong collaboration with stakeholders and a drive for scalable, secure data solutions are essential.

Qualifications

  • Strong experience in Azure Databricks, Spark, and PySpark.
  • Hands-on experience with Azure Data Factory (ADF).
  • Proficiency in SQL and Python.
  • Experience with Delta Lake and Lakehouse architecture.
  • Knowledge of ADLS Gen2, Synapse Analytics, Azure Key Vault, and CI/CD practices.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Databricks, PySpark, and Azure Data Factory (ADF). Build and optimize ETL/ELT workflows for processing large-scale data. Develop data solutions using Delta Lake and Medallion Architecture (Bronze, Silver, Gold). Integrate data from multiple sources including databases, APIs, cloud storage, and enterprise apps.
  • Implement data transformation, cleansing, validation, and quality frameworks. Optimize Spark jobs, cluster configurations, and SQL queries to improve performance and reduce costs.
  • Develop and maintain data models supporting BI, reporting, and analytics requirements.
  • Utilize Azure services such as ADLS Gen2, Synapse Analytics, Azure SQL Database, Key Vault, and Monitor. Implement CI/CD pipelines using Azure DevOps and Git. Ensure data security, governance, compliance, and access management using Unity Catalog and Azure security best practices.
  • Monitor production workloads, troubleshoot data issues, and perform root cause analysis. Collaborate with business stakeholders, solution architects, data scientists, and development teams to deliver end-to-end data solutions.
  • Participate in Agile ceremonies, code reviews, design discussions, and mentoring of junior team members. Support cloud migration and modernization from on-premises to Azure.

Skills

Azure Databricks
Apache Spark
PySpark
SQL
Python
Delta Lake
Lakehouse
Azure Data Factory
ADLS Gen2
Azure Synapse
Azure SQL DB
Azure Key Vault
Azure DevOps
Git
CI/CD
Data Modeling
Performance Tuning

Job description

Sr. Software Engineer - Azure Databricks Job

Date: Sep 7, 2026

Job Requisition Id: 66256

Location: Hyderabad, TG, IN Hyderabad, IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Role Summary

The Senior Software Engineer will be responsible for designing and delivering enterprise-grade data engineering solutions on Azure, leveraging Databricks, Spark, and Azure-native services to support business intelligence, analytics, and digital transformation initiatives.

  • Key Responsibilities Design, develop, and maintain scalable data pipelines using Azure Databricks, PySpark, and Azure Data Factory (ADF). Build and optimize ETL/ELT workflows for processing large-scale structured and unstructured datasets. Develop data solutions using Delta Lake and Medallion Architecture (Bronze, Silver, Gold layers). Integrate data from multiple sources including databases, APIs, cloud storage, and enterprise applications. Implement data transformation, cleansing, validation, and quality frameworks. Optimize Spark jobs, cluster configurations, and SQL queries to improve performance and reduce costs. Develop and maintain data models supporting business intelligence, reporting, and analytics requirements. Utilize Azure services such as ADLS Gen2, Azure Synapse Analytics, Azure SQL Database, Key Vault, and Azure Monitor. Implement CI/CD pipelines using Azure DevOps and Git-based version control practices. Ensure data security, governance, compliance, and access management using Unity Catalog and Azure security best practices. Monitor production workloads, troubleshoot data issues, and perform root cause analysis. Collaborate with business stakeholders, solution architects, data scientists, and development teams to deliver end-to-end data solutions. Participate in Agile ceremonies, code reviews, design discussions, and technical mentoring of junior team members. Support cloud migration and modernization initiatives from on-premises platforms to Azure.
  • Required Skills Strong experience in Azure Databricks, Apache Spark, and PySpark. Hands-on experience with Azure Data Factory (ADF). Proficiency in SQL and Python. Experience with Delta Lake and Lakehouse Architecture. Strong understanding of Azure Data Lake Storage (ADLS Gen2). Experience with Azure DevOps, Git, and CI/CD implementations. Knowledge of Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault. Expertise in data modeling, performance tuning, and data warehousing concepts. Strong analytical, problem-solving, and communication skills.
Our Hyperlearning workplace is grounded upon four principles
  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture
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