Senior Data Engineer

Responsibilities

• A problem-solving mindset with the ability to understand business challenges and how to apply analytics expertise to solve them.
• Build compelling, clear, and powerful visualizations of data.
• Design, architect and implement Azure Data Factory V2 Pipelines.
• Should have worked on Team Foundation Server / GIT as part of ADF Implementation.
• Experience in migration projects like moving/implementing code from other ETL tool to ADF.
• Develop solution to implement error logging, alerting mechanism using various available azure services.
• A team mentality empowered by the ability to work with a diverse set of individuals.
• Tell a clear story, highlight insights we had not previously seen and do it all faster than we’ve been able to previously.
• Create, maintain, and document a robust set of metrics to monitor day-to-day bug detection and long-term performance tracking/tuning.
• Have strong understanding of best practices, standards and guidelines in each technology/product and apply same to produce high quality deliverables
• Should be able to take responsibility for the software life cycle - set up all environment, design, code, test, repository mgmt. and deployments as applicable and as required

• Minimum 4-7 years of Development experience in ADF.
• At least 3-5 years of experience in T-SQL, creating complex store procedures, triggers etc.
• Should have used Azure DevOps extensively as part of projects
• Should have worked on SQL Database, Azure SQL Database, Azure Datawarehouse, salesforce connectors, snowflake connectors and should be comfortable with data warehousing concepts.
• Should have worked on Azure Logic Apps, Azure Functions for not less than 3 years.
• 4+ Years professional experience in a data Engineer/analyst role or similar.
• Knowledge in creating Power BI Reports & Dashboards [Optional]
• Should have worked on Service Bus, Event Hub.

• Experience working on Data Migration / Code implementation from other ETL tools using ADF will be an advantage.
• Experience with Azure Data Factory, SSIS package, managed identity, service principles and other deployment activities
• Experience with building CI/CD pipelines in Data environments and different patterns of deployment activities
• Experience working on Azure Analysis Service with intermediate expertise in writing DAX.
• Exposer to NOSQL databases Cosmos DB, Kusto DB.
• Preferred Azure Cloud Shell, PowerShell, Azure CLI and Work with other Azure stack modules like Azure Data Lakes, SQL, Data warehouse, SF connectors, etc.
• Excellent communication, organizational transformation, and leadership skills
• Eager to continuously learn and grow.

At Ecolab, we believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we 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, disability, or status as a covered veteran.

In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). Our goal is to fully utilize minority, female, disabled and covered veteran individuals at all levels of the workforce. Ecolab is a place where you can grow your career, own your future and impact what matters.