Data Engineer
At a glance
Mid-level Data Engineering role at Ecolab. Bangalore · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and automate data pipelines and systems, integrating and modeling data to meet assigned project goals
- Develop connections between data systems, strengthen data security, or handle ETL and ELT work
- Carry out data quality and data operations engineering as part of your assigned work
- Set an approach for your tasks with limited oversight and potentially lead smaller projects or research
What you bring
- A degree plus two to four years of experience, or equivalent education and experience without a degree
- Mastery in at least two areas, such as data integration, security, ETL and ELT, or quality engineering
Who this fits
This mid-level role suits someone comfortable delivering assigned work with limited supervision. You may lead projects or research with a limited scope and complexity, and report to a Data Engineering Manager.
From the employer
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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Data Engineering
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