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Data Engineer
2 weeks ago
Experience Required: 3–5 Years
Education: Bachelor's Degree in Computer Science, Information Technology, or a related engineering field
Certification: Microsoft Certified Data Engineer Associate or Fabric Certified Associate
Job Summary:
We are looking for a highly motivated and technically proficient Data Engineer to join our data platform team. The ideal candidate will have 3–5 years of hands-on experience in building scalable data solutions using Microsoft Fabric and related technologies. This role involves designing and implementing data pipelines, integrating diverse data sources, and enabling advanced analytics across the enterprise.
Key Responsibilities:- Develop and maintain robust data pipelines using Azure Data Factory and Microsoft Fabric.
- Build and optimize Dataflows, Lakehouses, and Notebooks within the Fabric ecosystem.
- Write efficient SQL queries and stored procedures for data transformation and analysis.
- Design and publish Power BI dashboards and reports using DAX for business intelligence.
- Integrate external data sources including Snowflake into Fabric-based solutions.
- Utilize Fabric REST APIs for automation, orchestration, and advanced data operations.
- Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders.
- Ensure data quality, governance, and security across all data assets.
- Document technical solutions and maintain version control using Git or similar tools.
- 3–5 years of experience in data engineering or related roles.
- Strong proficiency in:
- Microsoft Fabric
- SQL
- Power BI
- Snowflake
- Python
- Azure Data Factory Pipelines
- DAX
- Fabric REST APIs
- Dataflows
- Proven ability to work with large datasets and optimize performance.
- Excellent problem-solving, communication, and collaboration skills.
- Must hold a valid Microsoft Certified Data Engineer Associate or Fabric Certified Associate credential.
- Experience with CI/CD pipelines and DevOps practices for data engineering.
- Knowledge of data modeling, data warehousing, and cloud architecture.
- Exposure to enterprise data governance frameworks and compliance standards.
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.