Azure Data Engineer - SQL / Python

Forward Eye Technologies; Dadri; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Forward Eye Technologies in India is looking for a Data Engineer to design, build, and deploy ETL pipelines using Azure data services. You will collaborate with data scientists and engineers to understand data requirements and optimize data solutions for deployment and integration.

The ideal candidate has 2–3 years of experience in Azure Data Analytics, Synapse and DevOps, with Python and SQL expertise and familiarity with cloud platforms such as Azure and AWS.

Qualifications

• 2–3 years of experience in Azure Data Analytics, Synapse, and DevOps.
• Proficient in Python, SQL, Py-Spark and Spark-SQL.
• Experience with Azure: ADLS, Synapse, Stream Analytics, SQL DW, Analysis Services, Serverless Architecture, ARM Templates.
• Experience with cloud platforms like Azure and AWS.
• Knowledge of CI/CD pipelines, automation tools and version control systems like Git.
• Strong problem-solving and troubleshooting skills.
• Experience with monitoring tools.
• Ability to work collaboratively in cross-functional teams.

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 optimized for storage and use according to business and technical requirements.
• Automate tasks and deploy production standard code (with unit testing, CI, and versioning).
• Load transformed data into storage and reporting structures in destinations including data warehouse and real-time analytics systems.
• Build data pipelines to collectively bring data together.
• Extract data, troubleshoot and maintain 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.

Skills

Azure Data Analytics

Synapse

DevOps

Python

SQL

Py-Spark

Spark-SQL

Azure services

Git

CI/CD

Monitoring tools

Cross-functional teamwork

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.