PUNE · FULLTIME
Associate Data Engineer
Ecolab
Pune · onsite · Posted 51d ago
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.7s
- Found the form on Naukri · 7 questions to answer1.1s
- Decided the answers for all of them3.0s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
- 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.
- Skills: Exceptional analytical and problem-solving abilities.
- Education: A bachelors or masters degree in computer science , Information Technology, or Engineering is preferred.
- 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 hosted applications .
- Have experience with PySpark , Five Tran , DBT (ETL/ELT) , Python, St r eamlit , Flask, Node.js, Power Apps, Graph API, Azure app services.
- Have experience with source control (GIT) .
Sourced from naukri
Section · 02
Skills
Section · Company
About Ecolab
Ecolab
Waste Management
3.8k+
employees
Beaver Creek
US
About
A trusted partner for millions of customers, Ecolab (NYSE: ECL) is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, Ecolab has annual sales of $15 billion, employs more than 48,000 associates and operates in more than 170 countries around the world. The company delivers comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use. Ecolab’s innovative solutions improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets.
Industries
Employee ratings
220 reviews
Culture
3.4
Career growth
2.7
Work-life
3.6
Employees rate it well for
Find them on