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Data Engineer

Ecolab · Cleaning & Household Products · Chemical Manufacturing · ETL/ELT · 3 hours ago
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Location
In office (Bengaluru)
Seniority
Junior · 2+ years exp
Visa
Sponsors visas in United States, Ireland, United Kingdom; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 7, 2026. Ecolab scores B on the Alion truth index.

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Profile match

Ecolab

Ecolab is a water, hygiene and infection prevention company headquartered in Saint Paul, Minnesota, supplying cleaning and sanitation chemicals, water treatment programs, food safety services and pest elimination to restaurants, hotels, hospitals, food and beverage plants and heavy industry. Founded in 1923, it is a Fortune 500 company that serves customers at more than 100,000 sites worldwide and owns Nalco Water, its industrial water treatment business. Openings cover sales and territory managers, field service representatives, food safety specialists, lab and manufacturing staff, logistics associates, finance analysts and data and AI engineers.
ecolab.com · HQ: Saint Paul, United States · Food Safety · Cleaning & Household Products · Sterilization & Infection Control · Chemical Manufacturing · 1001-5000 employees · Est. 1923
Tech stack of Ecolab

Job Characteristics: Demonstrates use and application of data engineering principles to integrate, model, and automate data pipelines and data systems. The employee should demonstrate mastering of skills in at least two of the following data engineering areas: development of data integration pipelines between data systems, data security, ETL and ELT, quality engineering activities and data operation engineering.

Education/Work Experience: Typically requires a degree and 2-4 years experience; or no degree and 6-8 years combined education and equivalent work experience (typically 1 year experience = 1 year education).

Independence Level/Reports to: Works under limited supervision on assigned tasks or portions of projects to determine and develop approach to meet desired objectives. May lead projects/research with limited scope and complexity. Normally reports to Data Engineering Manager.

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