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Senior role with Azure/Databricks specialization in metro Noida yields moderate applicant competition.
Core Azure data engineering skills are transferable, but enterprise BI and modeling needs moderately limit cross-industry fit.
Explicit 10-year experience plus mandatory Azure, Databricks, and data architecture requirements enforce strict screening.
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Design, develop, test, and deploy data integration and data pipeline processes using tools like Azure Data Factory, Databricks, and SSIS.
Lead data architecture, modeling, and self-service analytics efforts including BI reports and visualizations using tools like Power BI, Tableau, and SQL Server Reporting Services.
Coach and manage multiple consultants, coordinate with project managers and client staff, and establish data integration best practices, methodologies, and documentation.
10 years of industry experience implementing data integration tools including Databricks and Azure Data Factory.
Minimum 5 years of experience in data architecture or data modeling.
Bachelor’s degree or equivalent experience is required; Master’s degree preferred.
Strong experience with big data frameworks (Spark, Hadoop, Hive), data warehousing, cloud platforms (Azure preferred), and BI tools (Power BI, Tableau, SSRS).
Experienced in leading data integration projects and teams within Agile environments using tools like Azure DevOps or JIRA with CI/CD practices.
Proficient with a broad set of data architecture philosophies and modern data warehouse technologies including cloud and real-time data processing.
Skilled in data modeling tools and multiple database platforms (SQL Server, Oracle, Azure Synapse, Snowflake) with a strong background in decision support/business intelligence development.