What you will do:

• Design, develop, and optimize scalable data pipelines .Write and optimize complex SQL queries for data extraction, transformation, and analysis across various platforms. Manage and maintain cloud-based data infrastructure and architecture. Integrate data from disparate sources and ensure data quality, consistency, and integrity across systems. Continuously monitor, evaluate, and improve data performance.
• Lead in defining and understanding business data and analytics requirements.
• Perform data analytics tasks, such as collecting, processing, evaluating, and aggregating data from various sources for analysis.
• Collaborate with data architects and engineers to build datasets and identify needs for new data objects to enhance analytics outcomes.
• Validate data model logic and algorithms from a business perspective, while ensuring the results of data analysis are robust and reliable.
• Interpret, visualize, and present the results of your data analysis, providing actionable insights for business.

The skills you bring:

• PySpark, SQL, Power BI, Snowflake, Microsoft Fabric, and Azure cloud technologies
• Hands-on experience with Snowflake, Microsoft Fabric, and Azure Data Services (e.g., Data Lake, Synapse, Databricks). Strong understanding of data warehousing concepts, ETL frameworks, and big data technologies
• Excellent problem-solving skills and ability to translate complex data into simple narratives for business stakeholders.
• Partner with data scientists, analysts, and business leaders to support advanced analytics and decision-making processes.
• Senior Data Analyst with 10 - 15 yrs of strong data engineering/analyst capabilities