Associate Data Engineer

Ecolab is looking for a   Data Engineer   to join the Analytics and Digital Solutions Team   within Ecolab Digital in support of Global Supply Chain . If   you're   a 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.

As a technical   expert ,   you'll   drive continuous improvements in our digital capabilities and advanced analytics.   You'll   lead the development of new digital products,   providing   critical insights to solve business challenges. A key part of your role will be enhancing data   utilization   across the organization through improved processes, governance, and data management.   We're   looking for someone passionate about building a strong data foundation and adopting modern data architecture for current and future analytical needs.

D ata initiatives:   Serve as a liaison among stakeholders to   analyse   and define data requirements for reporting and business process changes.   Manage data infrastructure:   Proactively manage   Snowflake and   SQL databases and   analytical   data models.   Drive data excellence:   Develop, test, and tune semantic models for enterprise reporting, ensuring compliance with IT security requirements.   Advance data architecture:   A doption of modern data architecture and   identify   opportunities to solve business problems with   state-of-the-art   solutions.   Perform reverse engineering:   Analyze and understand existing complex data structures and processes to   facilitate   migrations, 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-premises   data points.   Promote Agile methodologies:   Champion and follow SCRUM/Agile frameworks.

Experience:     Up to   3 - 5   years in a data engineering, analyti cs , or business intelligence role.   Proficiency   in ETL data engineering,   dimensional   data   modelling , master data management, data governance, and end-to-end data lineage documentation.   Strong experience with cloud data warehouses, specifically Snowflake,   streams,   tasks   and the Azure Platform ( DBT, Snowflake,   SQL Server, Logic Apps, App Services, Data Factory, Power BI including pipelines,   Lakehouse , and   W arehouse).   Advanced SQL skills (cursors, triggers, CTEs, procedures, functions ,   external tables, dynamic tables,   security   roles ) and Python (object-oriented programming, handling JSON/XML).   Build ETL or ELT data pipelines using Snowflake streams, tasks, store procedures and   Five Tran /DBT tools.   Experience with medallion   data   architecture framework.   At least 2 years of Agile/Scrum project management experience, including data requirements gathering and project ownership.

Exceptional analytical and problem-solving abilities.

A   bachelor’s or master’s   degree in computer science , Information Technology, or Engineering is preferred.     Bonus Points If You Have   Experience w orking in applications within   supply   chain   domain .   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 (SAP   and   GEP( Indirect   Procurment )   preferred).   Demonstrated ability to collaborate effectively with global cross-functional teams and individuals with varying technical   expertise .   Developed cloud