Location: Bangalore, India
Company: Alcon
Employment Type: Full Time
Application Deadline: March 25, 2025
About Alcon
Alcon is a global leader in eye care, dedicated to enhancing vision and improving lives. With cutting-edge technology and innovation, Alcon delivers solutions in surgical and vision care that impact millions worldwide.
Job Overview
Alcon is seeking an Associate I, Data Engineering to develop and maintain data systems and infrastructure. This role involves designing scalable data pipelines, integrating data from multiple sources, optimizing workflows, and implementing data security measures. Additionally, responsibilities include developing reports and dashboards to support business intelligence.
Key Responsibilities
- Develop and maintain ETL pipelines to manage data in the data lake.
- Monitor the health of data infrastructure pipelines and ensure high data quality.
- Create dashboards and automation products to enhance process efficiencies.
Eligibility Criteria
- Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- Experience: 1 to 3 years of relevant work experience.
- Technical Skills:
- Proficiency in SQL.
- Experience in ETL and Data Engineering.
- Familiarity with BI Dashboard tools such as Tableau, Quicksight, or Power BI.
Work Schedule & Benefits
- Work Hours: 1 PM to 10 PM IST.
- Relocation Assistance: Provided.
Equal Opportunity & Employment Scams Advisory
Alcon is an Equal Opportunity Employer, committed to maintaining a diverse and inclusive workplace. We do not discriminate based on race, gender, religion, nationality, or any other protected category.
Beware of Employment Scams: Alcon does not request money or personal information for job applications. If you suspect fraudulent activity, check the official Alcon Careers website for legitimate job postings.
How to Apply
Interested candidates can apply via Alcon’s official careers portal before March 25, 2025.
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Kickstart your career with Alcon and shape the future of data engineering!
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