5+ years of experience in data engineering, data warehousing, and cloud technologies like Azure
12+ years of expertise in SQL, schema design, and dimensional data modeling
In-depth knowledge of data warehouse best practices and development methodologies
Experience with ETL/ELT tools such as ADF and Azure Synapse
Strong skills in big data tools including Microsoft Fabric and Databricks, with programming in PySpark and Spark SQL
Proficient in creating Azure Data Platform solutions for complex business requirements
Ability to work independently in fast-paced environments
Responsibilities
Design and implement cloud solutions focused on data management and analytics
Lead the development and maintenance of data ingestion and processing pipelines on Azure
Serve as a technical expert for architecture direction and innovation
Conduct proof of concepts to validate architectural solutions
Drive continuous technology transformation and minimize technical debt
Analyze industry trends and their impact on enterprise technology strategy
Participate in defining and aligning IT initiatives with target state architecture
Benefits
Opportunity to work with cutting-edge cloud technology
Engagement in continuous learning and skills enhancement
Collaborative and dynamic work environment
Involvement in high-impact architectural decisions
Potential for technology transformation initiatives
Full Job Description
Minimum 5+ year's experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, Microsoft Fabric etc.
Azure experience is preferred over other cloud platforms.
Minimum 12 + years of proven experience with SQL, schema design and dimensional data modelling.
Solid knowledge of data warehouse best practices, development standards and methodologies.
Experience with ETL/ELT tools like ADF, Azure, MS Fabric etc., and data warehousing technologies like Azure Synapse, Azure SQL, ADLS etc.
Strong experience with big data tools (Microsoft Fabric, Databricks, Spark etc..) and programming skills in PySpark and Spark SQL.
Be an independent self-learner with a let s get this done approach and ability to work in Fast paced and Dynamic environment.
Knowledge in Microsoft Fabric Data Platform
Expertise in designing application solution on Azure Data Platform for complex business needs.
Serves as key technical expert engaged on designing, architecting, deploying and maintaining cloud solutions, Data Management & Analytics.
Strong knowledge of ETL patterns for data ingestion, processing and distribution using pipelines on Azure cloud services.
Leads technology proof of concepts to ensure feasibility of architecture solutions.
Provides architecture direction for engineers in support of a technical pattern.
Displays strong thought leadership in pursuit of modern data architecture principles and technology modernization.
Drives continuous technology transformation to minimize technical debt. Continuously improve efficiency and effectiveness of the architecture
Looks for opportunities to capitalize on technology advances through analysis of key industry and technology trends to assess potential impact on the enterprise.
Participates in defining target state technology architecture and roadmaps. Ensures alignment of IT initiatives with the target state
