Live opening · Posted 5 days ago
Data Engineer
atsMantra® · Pune City, Maharashtra, India (Hybrid)
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At a glance
The key details from the original listing.
CompanyatsMantra®
LocationPune City, Maharashtra, India (Hybrid)
Work modeHybrid
SkillsPython, JavaScript, React, Java, Azure, PostgreSQL, Pandas
Source
Linkedin
ListedPosted 5 days ago
About the role
Description supplied by the original job listing.
Role Summary
Experienced developer specializing in Python, Java, React JS, and Azure cloud platforms, with expertise in application modernization, automation, and data processing. Designs, implements, and supports scalable Azure-based services using technologies such as Azure Databricks, Azure Functions, Azure Storage, and CI/CD pipelines. Skilled in platform configuration, workflow orchestration, job scheduling, production support, and cloud migration. Focused on delivering secure, resilient, and cost-effective solutions in enterprise environments.
Key Responsibilities and Expertise
Develop and configure Azure cloud applications and platforms, including Azure Databricks, Azure Functions, and Azure Storage.
Build and support data processing, ETL/ELT pipelines, and automation.
Implement workflow orchestration, job scheduling, monitoring, and alerting.
Modernize legacy applications and support cloud migration initiatives.
Provide production support, incident management, and troubleshooting.
Improve performance, scalability, and cost efficiency.
Automate CI/CD and apply DevOps best practices.
Support data validation, operational controls, and governance.
Technical Skills
Languages: Python, Java, React JS, SQL, Shell Scripting
Python ecosystem: Pandas, NumPy, PySpark
Azure: Azure Databricks, Azure Functions, Azure Storage Accounts, Azure Blob Storage, Azure App Services, Azure Monitor
Data engineering: ETL/ELT development, PySpark processing, data transformation and validation, data ingestion pipelines, batch and scheduled processing
Scheduling and orchestration: Databricks Workflows, Azure Data Factory Pipelines, Azure Functions Timer Triggers, Cron Scheduling, workflow monitoring and alerting
Databases and storage: PostgreSQL, Azure SQL Database, SQLite, CSV, Parquet
Testing: Unit testing, integration testing, automated test frameworks
DevOps: Azure DevOps, Git, CI/CD pipelines, release automation, infrastructure as code
Tools: Jupyter Notebooks, Databricks Notebooks, VS Code
Preferred Experience: Previous experience in UBS infrastructure and banking environments is preferred.
Work arrangement
Hybrid
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