As a Custom Software Engineering Lead, a typical day involves overseeing the technical direction and architectural design of bespoke software solutions. This role requires guiding teams through the entire development lifecycle, from initial design concepts to final delivery. The position focuses on establishing development standards and ensuring that the software produced meets expectations for quality, scalability, and performance, all while aligning with the broader business goals. Collaboration and leadership are central to managing the workflow and fostering an environment where innovative solutions can thrive. Azure Data Engineer : Azure SQL, Databricks and PySparkLocation: Pune , Work Model: Hybrid, 3 days per week from client office , Experience Required: 6 to 10 years Domain Preference: Investment Banking/BFSI experience is good to have.We are looking for an experienced Azure Data Engineer with strong expertise in Azure SQL, Databricks and PySpark. The candidate will be responsible for designing, developing and optimizing scalable data pipelines and analytics solutions on the Azure ecosystem. This role requires strong data engineering fundamentals, hands-on development capability and the ability to work effectively with client and internal teams in a hybrid delivery model.Key Responsibilities:• Design, develop and maintain data pipelines using Azure Databricks and PySpark.• Write and optimize Azure SQL queries, stored procedures and data transformation logic.• Build scalable ETL ELT workflows for data ingestion, processing and analytics use cases.• Collaborate with business analysts, data architects and client stakeholders to understand data requirements.• Perform data validation, reconciliation, performance tuning and production issue resolution.• Follow engineering best practices for code quality, version control, testing and deployment.• Support secure, reliable and compliant data solutions for enterprise environments.Must-Have Skills:• Strong hands-on experience with Azure SQL.• Hands-on development experience with Databricks.• Strong PySpark programming skills for large-scale data processing.• Good understanding of data engineering, ETL ELT pipelines and data transformation patterns.• Experience working in Agile delivery teams and client-facing project environments.Good-to-Have Skills:• Experience in Investment Banking or BFSI domain.• Exposure to Azure Data Factory, ADLS Gen2, Synapse or other Azure data services.• Python scripting experience.• Understanding of data governance, data quality and performance optimization practices.Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.- This position is based at our Pune office.- A 15 years full time education is required.
Responsibilities
As a Custom Software Engineering Lead, a typical day involves overseeing the technical direction and architectural design of bespoke software solutions. This role requires guiding teams through the entire development lifecycle, from initial design concepts to final delivery. The position focuses on establishing development standards and ensuring that the software produced meets expectations for quality, scalability, and performance, all while aligning with the broader business goals. Collaboration and leadership are central to managing the workflow and fostering an environment where innovative solutions can thrive. Azure Data Engineer : Azure SQL, Databricks and PySparkLocation: Pune , Work Model: Hybrid, 3 days per week from client office , Experience Required: 6 to 10 years Domain Preference: Investment Banking/BFSI experience is good to have.We are looking for an experienced Azure Data Engineer with strong expertise in Azure SQL, Databricks and PySpark. The candidate will be responsible for designing, developing and optimizing scalable data pipelines and analytics solutions on the Azure ecosystem. This role requires strong data engineering fundamentals, hands-on development capability and the ability to work effectively with client and internal teams in a hybrid delivery model.Key Responsibilities:• Design, develop and maintain data pipelines using Azure Databricks and PySpark.• Write and optimize Azure SQL queries, stored procedures and data transformation logic.• Build scalable ETL ELT workflows for data ingestion, processing and analytics use cases.• Collaborate with business analysts, data architects and client stakeholders to understand data requirements.• Perform data validation, reconciliation, performance tuning and production issue resolution.• Follow engineering best practices for code quality, version control, testing and deployment.• Support secure, reliable and compliant data solutions for enterprise environments.Must-Have Skills:• Strong hands-on experience with Azure SQL.• Hands-on development experience with Databricks.• Strong PySpark programming skills for large-scale data processing.• Good understanding of data engineering, ETL ELT pipelines and data transformation patterns.• Experience working in Agile delivery teams and client-facing project environments.Good-to-Have Skills:• Experience in Investment Banking or BFSI domain.• Exposure to Azure Data Factory, ADLS Gen2, Synapse or other Azure data services.• Python scripting experience.• Understanding of data governance, data quality and performance optimization practices.Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.- This position is based at our Pune office.- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 2,17,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
