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 

Required Qualifications 

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. 

Preferred Qualifications 

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. 

Our Commitment to Diversity and Inclusion

Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. Our goal is to fully utilize minority, female, and disabled individuals at all levels of the workforce. 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.