Data Engineer – Master Data Management

• This role is responsible for the Data Engineering of Master Data Management (MDM) data within Alcon's AWS data lake environment. Working closely with business and data governance stakeholders, the Data Engineer will design, build, and optimize scalable data pipelines that ingest, cleanse, transform, and provision trusted master data — with a primary focus on Customer Master data and Product Information Management (PIM) data domains — in alignment with Alcon's Data and Analytics strategy, standards, and governance practices.
• Knowledge of Customer Master data and Product Information Management (PIM) data domains is highly preferred.

• →Education: B.Tech / B.E / M.Tech / MCA or bachelor's/master's degree in Computer Science, Data Science, or a related quantitative field (or equivalent applicable experience).
• →6 to 10 years of experience in Big Data / data lake solutions in an AWS cloud environment.
• →3+ years of experience writing code in the Spark engine using Python, Scala, or Java.
• →Hands-on experience building and optimizing data pipelines for data ingestion, preparation, curation, provisioning, automated testing, and quality checks.
• →Good working knowledge of AWS services such as Glue, EMR, S3, SNS, SQS, Athena, Redshift, Lambda, and Step Functions.
• →Good experience in RDBMS — MS SQL, Oracle, Postgres, etc.; strong working knowledge of SQL is a must.
• →Experience performing data modeling, data analysis, and deriving insights using various tools.
• →Experience working as part of agile teams using collaboration tools such as Jira and Confluence.
• →Ability to work with the business to capture, groom, prioritize, plan, and demo User Stories.
• →Familiarity with visualization and reporting tools such as Tableau or AWS Quick.

• Knowledge of and hands-on experience with Master Data Management (MDM) concepts, tooling, and processes.
• Working knowledge of Customer Master data domains (customer records, hierarchies, matching, de-duplication, and survivorship).
• Working knowledge of Product Information Management (PIM) data domains (product attributes, catalogs, taxonomies, and enrichment).
• Understanding of data governance, data quality, and stewardship practices as applied to master data.

• Strong collaboration skills for effective communication across multiple teams and stakeholders, both internal and external.
• Data-savvy individual with hands-on experience preparing, analyzing, and deriving insights from data.
• Confident, energetic self-starter with strong problem-solving ability and high learning agility.
• Demonstrated commitment to high standards of ethics, regulatory compliance, customer service, and business integrity.

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