Lead Data Engineer

Job Characteristics: Demonstrates ability to extensively use data engineering principles solve complex data flow challenges to integrate, model, and automate data pipelines and data systems. The employee should demonstrate mastering of skills across following data engineering areas: development of data integration pipelines between data systems, data security, ETL and ELT, quality engineering activities and data operation engineering. The employee is able to assist in troubleshooting and problem resolution activities.
Education/Work Experience: Typically requires a degree and 8+ years experience; or no degree and 12+ years combined education and equivalent work experience (typically 1 year experience = 1 year education). Independence Level/Reports to: Recognized master in professional discipline typically obtained through advanced education and work experience. Responsibilities typically include: establishing operational plans for job area. Developing and implementing new products, processes, standards or operational plans that will have impact on the achievement of functional results. Requires communication with leadership. Normally Reports to Data Engineering Manager or Director.

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.