Description
& Summary:A career within….
Responsibilities:
•Experience working with cloud-based database platforms such as Azure Synapse Analytics, Azure SQL Database, and Snowflake to enable scalable data warehousing and analytics solutions.
•Design and develop scalable data pipelinesleveragingAzure Data Factory, Azure Databricks, and Synapse Analytics for efficient data ingestion and transformation.
•Implement ETL workflows to extract data from diversesources—including relational databases, REST APIs, file systems, real-time streams, and Change Data Capture (CDC)—and load it into Azure Data Lake Storage.
•Monitor data pipeline health and implement performance tuning and cost optimization measures to ensure reliability and efficiency.
•Administer cloud infrastructure in Azure environments, focusing on networking, security configurations, monitoring setups, and cost management.
•Lead cloud migration projects, transitioning existing workloads to Azure with attention to architectural best practices and operational continuity.
•Develop andmaintaininfrastructure-as-code (IaC) and automate deployment processes using Azure DevOps pipelines, ensuring repeatable and reliable application and infrastructure delivery.
•Manage source control, branching strategies, and repository administration using Azure DevOps Repos and GitLab.
•Utilizecontainerization technologies such as Docker for packaging, deployment, and orchestration of applications, ensuring security and scalability.
•Write andmaintainautomation scripts and tooling using languages including PowerShell and Python, supporting deployment, monitoring, and configuration tasks.
•Build and manage CI/CD workflows integrating code repositories, automated testing, security scans, and deployment across multiple environments.
•Leverage Azure DevOps toolsincludingbuild and release pipelines, work item tracking, and REST APIs to support the software development lifecycle and team collaboration.
Mandatory skill sets:
•Expertisein Azure Databricks, Azure Data Factory, and Synapse Analytics
Proficient in Python scripting and advanced SQL query writing and optimization.
Experience with Azure Data Lake Storage and data warehousing concepts (star/snowflake schemas).
Preferred skill sets:
Azure Data Engineering & SQL
Years of experiencerequired:
4 – 7 yrs
Education qualification:
Btech/MBA/MCA
Education Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, Master of Business AdministrationDegrees/Field of Study preferred:Certifications Required SkillsData Engineering, Microsoft AzureOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}Desired Languages Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End DateApril 6, 2026…