Posted on: 09/12/2025
Description :
- Azure Cloud Expertise : Leverage deep experience with Azure cloud technologiesincluding Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Azure Databricks, etc. to deliver hybrid and enterprise-scale data solutions.
- Data Modeling & Optimization : Apply advanced relational and dimensional modeling techniques to optimize data structures, query performance, and downstream analytics.
- Programming & Automation : Use Python and SQL to interact with diverse data sources and sinks (Relational, NoSQL, Blob Storage, streaming platforms) and automate data processing workflows.
- Scalable & Reliable Infrastructure : Build scalable, resilient, and maintainable data infrastructure, ensuring efficient extraction, transformation, and loading from heterogeneous sources.
- Data Migration & Validation : Lead complex data migration initiatives across databases and cloud platforms, performing rigorous testing, reconciliation, and validation to ensure data integrity.
- Stakeholder Collaboration : Partner with internal teams and external clients to troubleshoot, optimize, and enhance data solutions, providing technical guidance and best practices.
- Performance & Innovation : Continuously optimize data pipelines and infrastructure for performance, scalability, and cost-efficiency, staying up-to-date with emerging technologies and industry trends.
- Critical Thinking & Consulting : Approach technical challenges with a consultative mindset, analyzing complex problems and proposing data-driven solutions that deliver business value.
Job Specification :
- Azure Certified : Hands-on expertise in designing and managing Azure cloud solutions.
- CI/CD Proficiency : Solid understanding of Continuous Integration/Deployment best practices.
- Python & Data Integration : Work with relational/NoSQL databases, Azure Blob/ADLS, and streaming platforms.
- Cloud Migration : Proven experience migrating applications and infrastructure from on-premises to cloud environments.
- Data Formats & Transformations : Skilled in XML, Parquet, CSV, JSON for data processing.
- Azure : Hands-on with Azure Synapse, Databricks, ADLS, Azure SQL
- Data Modeling : Strong grasp of relational and dimensional modeling, query optimization, and access patterns (SQL, MDX).
- Pipeline Orchestration : Automate and manage data pipelines on-prem and in cloud environments.
- Enterprise-scale Architecture : Deep experience with Azure and hybrid infrastructures, architecture design, and technology management.
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Posted by
Iti Rathi
Senior Talent Acquisition Specialist at Impressico Business Solutions Pvt. Ltd.
Last Active: 10 Dec 2025
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1587333
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