Azure Data Engineer - SQL / Python

Forward Eye Technologies; Dadri; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Forward Eye Technologies is seeking a Data Analytics Engineer in India to design and optimize ETL pipelines using Azure data services. You will collaborate with data teams to understand requirements and build scalable, secure data solutions for reporting and analytics.

The role emphasizes CI/CD, automation, and production-grade development, with responsibilities spanning data cleansing, transformation, and governance across the data warehouse ecosystem.

Qualifications

• Experience with Azure Data Analytics, Synapse, and DevOps.
• Proficiency in Python and SQL, plus Py-Spark/Spark-SQL.
• Experience with Azure ADLS, Synapse, Stream Analytics and SQL DW.
• Familiarity with CI/CD, version control (Git), automation tools.

Responsibilities

• Design, develop, and implement ETL pipelines for deployment and integration.
• Collaborate with data engineers and data scientists on data requirements.
• Ensure data cleansing, mapping, transformation for storage and use.
• Automate tasks and deploy production-grade code with CI, tests, versioning.

Skills

Azure Data Analytics

Synapse

DevOps

Python

SQL

Py-Spark

Spark-SQL

Azure ADLS

Stream Analytics

Serverless Architecture

ARM Templates

Git

CI/CD

Monitoring Tools

Education

Data Engineer cert

Tools

Azure Synapse Studio

Databricks

Fabric

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.