Sr. Consultant

Job Description

Engagement Type: Project-based contract Duration: 6 Months Number of Openings: 1 We are seeking a highly experienced and analytical Sr. Consultant with 8-10 years of expertise in Database and Data Warehouse technologies, particularly within the Azure ecosystem. The ideal candidate will possess strong skills in data integration, statistical analysis, and data mining, with a proven ability to translate complex data into actionable business insights. Key Responsibilities: Data Platform Expertise: Leverage 8+ years of experience in Database and Data Warehouse technologies, with a strong focus on Azure Synapse, Azure Data Bricks (ADB), and Azure Data Factory (ADF) . Data Integration & Scripting: Effectively analyze heterogeneous source data from various systems. Write robust SQL scripts to integrate data from multiple data sources, ensuring data quality and consistency. Develop and utilize PowerShell Scripting for automation and data manipulation tasks. Data Processing & Programming: Apply solid knowledge of Python and Spark for data processing, transformation, and analytical workflows. Statistical Analysis & Insights: Perform Statistical Analysis on processed data to assess results and generate actionable insights. Present findings clearly and concisely to business users to support informed decision-making. Data Mining & Business Adaptation: Conduct Data Mining activities to uncover patterns and provide actionable data in response to evolving business requirements. Adapt swiftly to changing business needs and support the development and implementation of best-known methods in data analytics. Required Skills & Experience: Experience: 8 to 10 years of overall experience. Mandatory Skills (Implicit from JD): Azure Synapse, Azure Data Bricks (ADB), Azure Data Factory (ADF). SQL (for complex data integration). Python, Spark. PowerShell Scripting. Statistical Analysis & Data Mining. Technical Proficiency: Strong background in Database and Data warehouse technologies. Proven ability to integrate data from diverse sources using SQL. Experience with statistical analysis to derive actionable insights. Capability to perform data mining for business solutions. Soft Skills: Strong analytical thinking. Excellent presentation skills for communicating findings to business users. Adaptability to changing business requirements.