• Develop complex queries and stored procedures using T-SQL with a strong focus on performance tuning, ensuring database integrity and security.
• Design and implement Azure-based data solutions aimed at reducing data processing times and optimizing costs through efficient utilization of resources.
• Conduct performance tuning and troubleshooting activities on Azure SQL databases to enhance system stability and reliability.
• Develop and manage end-to-end ETL pipelines utilizing Azure Data Factory to improve data integration capabilities and overall process efficiency.
• Implement data integration solutions leveraging Azure Data Factory to ensure seamless data flow and robust pipeline development.
• Enforce robust security measures for data storage and processing, maintaining compliance with industry standards and regulatory requirements.
• Collaborate with cross-functional teams across the organization to optimize data architectures and boost data quality.
• Develop and maintain Azure Data Lake storage solutions, enabling efficient and scalable data ingestion and processing workflows.

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.