A minimum of 5+ years of experience in managing and developing solutions on the Azure data platform.
Extensive experience with Azure Data Factory, SQL Server database design, and ETL processes.
Primary Skills :
Proven experience in Microsoft Fabric for data integration, orchestration, and analytics.
Strong proficiency in PySpark for scalable data transformation and processing.
Expertise in Azure Databricks and Spark SQL for advanced ETL and data modeling.
Strong hands-on knowledge of Azure Synapse Analytics for warehousing and analytical workloads.
Proficiency in SQL and relational databases, with focus on performance tuning and query optimization.
Solid understanding of ETL/ELT processes, Delta Lake, and data lakehouse architectures.
Knowledge of Azure Data Factory, Azure DevOps, and CI/CD pipelines for deployment automation.
Understanding of data governance, security, and compliance (Key Vault, RBAC, Managed Identities).
Key Responsibilities
Design, develop, and maintain scalable, end-to-end data pipelines using Microsoft Fabric, PySpark, and Databricks.
Build and optimize data models and ETL workflows to support analytics, reporting, and machine learning.
Integrate data from relational databases, APIs, and flat files into Azure Data Lake (ADLS) and Synapse.
Implement Delta Lake architecture to ensure ACID compliance and maintain historical data versions.
Collaborate with data architects, analysts, and business teams to translate business requirements into technical solutions.
Optimize Spark and SQL performance for high-volume data workloads.
Implement monitoring, alerting, and logging solutions using Azure Monitor and Log Analytics.
Contribute to data governance and security standards, ensuring data quality and reliability across environments.
Mentor junior engineers and promote best practices in modern data engineering and Azure cloud technologies.
Preferred Skills
Experience with Power BI or similar visualization tools for integrated analytics.
Exposure to real-time data processing and event-driven architectures (Kafka, Event Hubs).
Familiarity with CI/CD best practices using Azure DevOps and Git-based workflows.
Strong problem-solving, analytical, and communication skills.
Location
: Bangalore , Chennai
Email:
aswini.u@applogiq.org
Phone:
96293 11599
Job Type: Full-time
Work Location: In person
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