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Senior Azure / SQL Developer - Big Data / PySpark

Senior Azure / SQL Developer - Big Data / PySpark

Lancesoft India Pvt LtdPune
4 days ago
Job description

Description : Position Overview

As a Senior Azure / SQL Developer, you will be responsible for the end-to-end development, deployment, and maintenance of robust data solutions.

This includes advanced SQL development, designing ETL / ELT workflows using SSIS and PySpark, and leveraging the full capabilities of the Azure Data stack within a DevOps methodology.

We are looking for an experienced professional ready to hit the ground running and drive performance in our data environment.

Key Responsibilities :

  • Azure Data Development : Design and implement scalable data solutions utilizing core Azure services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure SQL Database).
  • Advanced SQL Development : Write complex, highly optimized SQL queries, stored procedures, functions, and views to support business intelligence and application needs within high-transaction environments.
  • ETL / ELT Pipeline Construction : Develop, deploy, and manage Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes using SQL Server Integration Services (SSIS) for robust data movement and transformation.
  • Big Data Processing : Utilize PySpark for scalable data processing, transformation, and analysis, focusing on handling large volumes of data efficiently within Spark environments (e.g., Azure Databricks, Azure Synapse Spark Pools).
  • Development Tools : Leverage Visual Studio for developing and managing SQL projects, SSIS packages, and integrated cloud development tasks.
  • DevOps Integration : Implement and maintain Continuous Integration / Continuous Deployment (CI / CD) pipelines using DevOps practices (e.g., Azure DevOps, Git) for automated testing, deployment, and infrastructure management.

Essential Technical Skills (Mandatory) :

  • The essential mandatory technical skills for this role are comprehensive and span the modern data landscape.
  • Candidates must possess expertise in Cloud technologies, specifically with Azure Data Services (including Azure Data Factory and Azure SQL).
  • Foundational knowledge includes advanced Database skills encompassing complex SQL development, expert query optimization, and T-SQL.
  • For data ingestion and transformation, proficiency in ETL tools, particularly SSIS (design, deployment, and configuration), is required.
  • The role also demands Big Data processing capabilities using PySpark for efficient data manipulation, transformation, and performance tuning with DataFrames.
  • Development work requires familiarity with the Development IDE Visual Studio for managing SQL and SSIS projects.
  • Finally, a strong understanding of Automation and modern DevOps principles (CI / CD, Version Control) is mandatory for streamlined deployment and maintenance.
  • Candidate Profile :

  • Experience : 58 years of professional experience, with a significant portion of that time focused on the mandatory skills listed above.
  • Availability : Immediate joiners only are strongly preferred, demonstrating readiness to integrate quickly into our team.
  • Analytical Skills : Proven ability to analyze complex business requirements and translate them into efficient, technical data solutions.
  • Teamwork : Excellent collaboration skills, capable of working independently and as part of an agile development team
  • (ref : hirist.tech)

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