Description

You will bridge the gap between data engineering and analytics by operationalizing pipelines and ensuring data integrity.

This role is hybrid.

Responsibilities

• Operationalize and monitor data pipelines using existing tools and frameworks.
• Perform data validation checks to ensure completeness, consistency, and accuracy.
• Investigate and troubleshoot data anomalies, missing data, and flow issues.
• Build and maintain data quality dashboards for proactive issue detection.
• Document key processes, known data issues, and resolution steps.

Required Skills

• 5+ years of experience working with large data sets using SQL.
• Hands-on coding experience with Python or R.
• Experience working with Cloud Platforms, specifically Databricks.
• Ability to build and run data pipelines in the cloud.
• Experience developing reports and dashboards using Tableau and Power BI.
• Strong analytical and quantitative problem-solving abilities.
• Proven ability to apply QA best practices and run sanity checks on data flows.
• Experience stitching and performing QA on multiple data sources.
• Bachelor's degree in any field.

Preferred Skills

• Experience with Adobe Analytics or Customer Journey Analytics.

Key Skills

Education

Any Graduate