Azure Data Engineer - SQL / Python

V2 Solutions; Mumbai; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Forward Eye Technologies in Mumbai, India seeks an Azure Data Engineer with 2-3 years of experience to design and optimize ETL pipelines, ensuring data quality and governance. You will collaborate with data scientists and engineers to meet data requirements and deploy production-grade code using CI/CD practices.

The role focuses on data cleansing, transformation, and loading into data warehouses and real-time analytics systems, leveraging Azure ADLS, Synapse, and SQL DW.

Qualifications

• 2-3 years of Azure data analytics experience.
• Proficiency in Python, SQL, Py-Spark and Spark-SQL.
• Experience with Azure services such as ADLS, Synapse, Stream Analytics, and SQL DW.

Responsibilities

• Design, develop, and implement ETL pipelines for deployment and integration.
• Collaborate with data engineers/scientists to understand data requirements.
• Cleansing, mapping, transforming data for storage and analytics.
• Automate tasks and deploy production-grade code with CI/CD and testing.
• Load transformed data into data warehouses and reporting structures.
• Build end-to-end data pipelines and maintain data warehouse reliability.
• Ensure security and data privacy standards are met.
• Design solutions using Microsoft Azure and related tools.

Skills

Python

SQL

Py-Spark

Spark-SQL

Git

CI/CD

Problem-solving

Collaboration

Education

Azure/AWS Data Engineer Certification

Tools

Azure Synapse

Azure Data Lake Storage (ADLS)

Azure Stream Analytics

SQL Data Warehouse (SQL DW)

Analysis Services

Serverless Architecture

ARM Templates

Job description

# Azure Data Engineer - SQL / PythonForward Eye TechnologiesPosted on September 10, 2026---Experience2 - 3 yrsJob LocationMumbai, IndiaVacancy1DesignationAzure Data EngineerJob TypeNot specified---## Job Description**Main Roles and Responsibilities :** - Design, develop, and implement ETL pipelines for the continuous deployment and integration. - Collaborate with other data engineers and data scientists to understand data requirements and optimize data solution processes. - Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements - The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.) - Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications - Build data pipelines to collectively bring data together - Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse - Implement best practices for pipeline building and governance. - Troubleshoot and resolve issues related to pipeline deployment and performance. - Ensure compliance with security and data privacy standards - Solution design using Microsoft Azure services and other tools**Required skills and experience :** - 2-3 years of experience in Azure Data Analytics, Synapse, DevOps. - Proficiency in programming languages such as Python, SQL, Py-Spark, Spark-SQL. - Experience with Azure: ADLS, Synapse, Stream Analytics, SQL DW, Analysis Services, Serverless Architecture, ARM Templates - Experience with cloud platforms like Azure, AWS or and their respective services. - Knowledge of CI/CD pipelines, automation tools and version control systems like Git. - Strong problem-solving skills and ability to troubleshoot complex issues. - Experience with monitoring tools. - Ability to work collaboratively in cross-functional teams.**Nice to have:** - Should have Data Engineer certification from any discipline - Azure, AWS. - Azure Synapse Studio, Data bricks, Fabric - Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)Location - Hyderabad,Ahmedabad,pune,chennai,kolkata.