Senior Data Quality Analyst

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. About Caterpillar Caterpillar Inc. is the worlds leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, weve been helping customers build a better, more sustainable world and are committed to and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar, you're joining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary We are seeking a skilled Senior Data Quality Analyst - GFS Strategy -Global Finance Services Division. The incumbent would Lead data quality initiatives for Finance platforms by designing and operationalizing DQ rules, pipelines and remediation processes. Partner with stakeholders to ensure trusted, governed data for analytics and financial reporting. The preference for this role is to be based out of Bangalore-Shared Services What You Will Do Lead business and IT discussions for DQ solution development, enhancements and support Accountable and responsible for overall data accuracy and completeness for priority data elements Champion data governance framework and support data cataloging and glossary efforts Good with documentation and creating process maps for example - technical design documents, Requirement Docs, BRDs, Project Plan, Status Decks, etc. Good requirement-gathering skills and experience as a technical business analyst. Design, build and operate end-to-end data quality pipelines and validations to support reconciliation and data quality for finance datasets. Author, implement and monitor data quality rules and expectations Build and maintain data pipelines using Snowflake/Snowpark and/or AWS Glue (Crawlers, Jobs, Workflows, Glue Data Quality). Integrate Glue workflows with Apache Airflow for orchestration; develop Lambda functions for processing and orchestration tasks. Design and develop API integrations connecting AWS/Snowflake/Web UI etc. to support data quality solution Drive DQ remediation with data owners and stewards: automate fixes where safe, escalate and manage manual remediation Capture metadata, lineage and access controls; collaborate with governance and security teams. Produce technical documentation, requirement specs and DQ dashboards; mentor junior analysts. What You Will Have 8 + years experience in data management, data quality/governance or related roles. Strong hands-on experience with SQL and Python. Experience with Snowflake and/or AWS data stack (AWS Glue, Glue Data Catalog, Lambda, Athena). Proven experience authoring and operationalizing DQ rules and remediation processes. Strong stakeholder engagement, requirements-gathering and documentation skills. Bachelors degree or equivalent practical experience. This position requires candidate to work a 5-day -a -week schedule in the office. Preferred Qualifications: Experience integrating Glue workflows with Apache Airflow. Experience with Alation or other data catalog tools. Certifications: AWS (Data Analytics or Solutions Architect), DAMA/DMBOK, or DQ certification. Experience with building dashboards or WebUI to support DQ dashboards Proficient in AI tools like Co-Pilot, Github Copilot, VS code, Snowflake Cortex etc. Core Skills & Competencies: .