Join Ecolab as a Data Engineer

Responsibilities

A Data Engineer at Ecolab is expected to possess a problem-solving mindset with the capability to understand business challenges and apply analytics expertise to solve them. Key responsibilities include:

• Building compelling, clear, and powerful visualizations of data.
• Designing, architecting, and implementing Azure Data Factory V2 Pipelines.
• Utilizing Team Foundation Server / GIT as part of ADF Implementation.
• Handling migration projects such as moving/implementing code from other ETL tools to ADF.
• Developing solutions to implement error logging and alerting mechanisms using various available Azure services.
• Collaborating effectively within a diverse team.
• Communicating key insights and findings with clarity and efficiency.
• Creating, maintaining, and documenting a robust set of metrics for monitoring day-to-day bug detection and long-term performance tracking and tuning.
• Applying best practices, standards, and guidelines to produce high-quality deliverables.
• Managing the software lifecycle including environment setup, design, coding, testing, repository management, and deployments.

Required Qualifications

The ideal candidate for our Data Engineer role will have:

• Minimum 4-7 years of development experience in ADF.
• At least 3-5 years of experience in T-SQL, creating complex stored procedures, triggers, etc.
• Extensive use of Azure DevOps as part of projects.
• Experience with SQL Database, Azure SQL Database, Azure Datawarehouse, Salesforce connectors, Snowflake connectors, and data warehousing concepts.
• Experience with Azure Logic Apps and Azure Functions for not less than 3 years.
• 4+ years of professional experience in a Data Engineer/analyst role or similar.
• Knowledge in creating Power BI Reports & Dashboards [Optional].
• Experience with Service Bus and Event Hub.

Preferred Qualifications

Additionally, the following qualifications will be advantageous:

• Experience working on Data Migration/Code implementation from other ETL tools using ADF.
• Experience with Azure Data Factory, SSIS packages, managed identity, service principles, and other deployment activities.
• Experience with building CI/CD pipelines in data environments and different patterns of deployment activities.
• Experience with Azure Analysis Service with intermediate expertise in writing DAX.
• Exposure to NoSQL databases such as Cosmos DB and Kusto DB.
• Familiarity with Azure Cloud Shell, PowerShell, Azure CLI, and other Azure stack modules like Azure Data Lakes, SQL, Data warehouse, SF connectors, etc.
• Excellent communication, organizational transformation, and leadership skills.
• An eagerness to continuously learn and grow.

Take the next step in your career and become part of our innovative team at Ecolab. Apply now to join us as a Data Engineer!

Company Name: Ecolab

Job Title: Data Engineer