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Associate Data Engineer

Ecolab

Ecolab

Data Science
Pune, Maharashtra, India · Maharashtra Nagar, Devicha Pada, Dombivli, Maharashtra2, India
Posted on Mar 16, 2026

Role Overview

We are looking for an Associate Data Engineer to support the development and maintenance of data pipelines, data models, and analytical datasets. The role involves working closely with senior engineers and stakeholders to ensure reliable, high‑quality data for reporting and analytics.

Key Responsibilities

  • Build and maintain ETL/ELT data pipelines
  • Write and optimize SQL queries.
  • Support data quality checks, monitoring, and issue resolution
  • Assist with troubleshooting data pipeline and performance issues.
  • Contribute to documentation, testing, and deployment activities

Required Skills

  • Strong SQL and relational database experience
  • Working knowledge of Python for data processing
  • Understanding of data warehousing and ETL concepts
  • Experience with cloud orchestration tools like ADF.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field
  • 1-2 years of relevant data engineering experience
  • Strong analytical and communication skills

About the Team

The Data Engineering team designs, builds, and maintains scalable data platforms that enable analytics, reporting, and data‑driven decision‑making across the organization. The team focuses on reliability, performance, and high‑quality data delivery aligned with business needs.


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.