Data Engineer – Master Data Management

Overview

Build and optimize Master Data Management data pipelines in Alcon's AWS data lake, focusing on Customer Master and Product Information Management data for trusted downstream analytics.

What you'll do

• Design and maintain pipelines for ingesting, cleansing, transforming, and curating MDM data.
• Implement end-to-end MDM solutions across ingestion, integration, curation, and consumption.
• Build pipelines with Python, PySpark, and Spark SQL across heterogeneous source systems.
• Support data quality, stewardship, matching, survivorship, and lifecycle management.
• Automate, optimize, migrate, and enhance MDM solutions and pipelines.
• Configure and analyze Reltio and Stibo MDM/PIM solutions.
• Participate in backlog grooming, sprint planning, and effort estimation.

What you'll need

• 6–10 years of experience in Big Data or data lake solutions in AWS.
• B.Tech, B.E, M.Tech, MCA, or a related computer science, data science, or quantitative degree.
• 3+ years writing Spark code using Python, Scala, or Java.
• Hands-on experience building and optimizing data pipelines and quality checks.
• Working knowledge of AWS Glue, EMR, S3, SNS, SQS, Athena, Redshift, Lambda, and Step Functions.
• Strong SQL knowledge and experience with relational databases.
• Experience with data modeling, data analysis, agile teams, Jira, and Confluence.

Nice to have

• Hands-on knowledge of MDM concepts, tools, and processes.
• Experience with Customer Master and PIM data domains.
• Understanding of data governance, data quality, and stewardship practices.
• Familiarity with Tableau or AWS Quick.

Details

• Location: Bangalore, India.
• Work hours: 1 PM to 10 PM IST.
• Relocation assistance is available.