Ecolab is looking for a Data Engineerto join the Analytics and Digital Solutions Teamwithin Ecolab Digital in support of Global Supply Chain Ifyou'rea passionate professional seeking growth and a rewarding career, we invite you to apply. This is an excellent opportunity to join a recognized global company offering competitive compensation, benefits, and significant career advancement.

What You'll Do

As a technicalexpert,you'lldrive continuous improvements in our digital capabilities and advanced analytics.You'lllead the development of new digital products,providingcritical insights to solve business challenges. A key part of your role will be enhancing datautilizationacross the organization through improved processes, governance, and data management.We'relooking for someone passionate about building a strong data foundation and adopting modern data architecture for current and future analytical needs.

Key Responsibilities

• Data initiatives:Serve as a liaison among stakeholders to analyseand define data requirements for reporting and business process changes.

• Manage data infrastructure:Proactively manage Snowflake andSQL databases andanalyticaldata models.

• Drive data excellence:Develop, test, and tune semantic models for enterprise reporting, ensuring compliance with IT security requirements.

• Advance data architecture:Adoption of modern data architecture andidentifyopportunities to solve business problems withstate-of-the-artsolutions.

• Perform reverse engineering:Analyze and understand existing complex data structures and processes to facilitatemigrations, integrations, or improvements.

• Foster best practices:Mentor peers on implementing and improving our data management and governance framework across technologies like Microsoft Power BI, Snowflake, Microsoft Azure, and on-premisesdata points.

• Promote Agile methodologies:Champion and follow SCRUM/Agile frameworks.

What You'll Need

• Experience:

• Up to3-5years in a data engineering, analytics, or business intelligence role.

• Proficiencyin ETL data engineering,dimensionaldatamodelling, master data management, data governance, and end-to-end data lineage documentation.

• Strong experience with cloud data warehouses, specifically Snowflake,streams,tasksand the Azure Platform (DBT, Snowflake,SQL Server, Logic Apps, App Services, Data Factory, Power BI including pipelines,Lakehouse, andWarehouse).

• Advanced SQL skills (cursors, triggers, CTEs, procedures, functions,external tables, dynamic tables,securityroles) and Python (object-oriented programming, handling JSON/XML).

• Build ETL or ELT data pipelines using Snowflake streams, tasks, store procedures andFive TranDBT tools.

• Experience with medalliondataarchitecture framework.

• At least 2 years of Agile/Scrum project management experience, including data requirements gathering and project ownership.

• Skills:Exceptional analytical and problem-solving abilities.

• Education:A bachelor’s or master’sdegree in computer science, Information Technology, or Engineering is preferred.

Bonus Points If You Have

• Experience working in applications withinsupplychaindomain

• Proven ability to manage and deliver multiple projects simultaneously in a dynamic environment.

• Experience creating, implementing, and continuously improving processes.

• Familiarity with data science areas like time series analysis, forecasting, classification, and regression analysis.

• Experience with ERP systems (SAPandGEP(IndirectProcurment)preferred).

• Demonstrated ability to collaborate effectively with global cross-functional teams and individuals with varying technicalexpertise

• Developed cloud hosted applications

• Have experience withPySpark,Five Tran, DBT(ETL/ELT),Python,Streamlit, Flask, Node.js, Power Apps,Graph API,Azure app services.

• Have experience with source control (GIT)