Senior Data Engineer

Location: Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103

Time Type: Full time

Job Description

Role: Senior Data Engineer

Location: Bangalore, India

Full/ Part-time: Full time

Build a career with confidence

Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.

Role Summary

The Senior Data Engineer is a hands-on technical contributor responsible for designing, building, and maintaining scalable data pipelines and high-quality, reusable datasets across Snowflake, AWS, and GCP. This role is part of the Corporate Functions team (Finance and Master Data domains – Customer, Vendor, Material) and operates in a complex enterprise environment integrating 70+ ERP systems (SAP ECC, Atlas, JDE, Baan, etc.). This position requires strong hands-on skills, with growing ownership under the direction of Tech Leads and Architects.

Key Responsibilities

Data Engineering & Pipeline Development

• Build and maintain scalable data ingestion and transformation pipelines.
• Develop advanced and optimised SQL transformations (daily usage expected).
• Use Python for data processing, automation, and pipeline logic.
• Work across Snowflake, AWS, and GCP platforms.
• Integrate and standardise data from multiple ERP systems.
• Optimise queries and transformations for performance and cost efficiency.

Data Modelling & Dataset Design

• Support implementation of logical and physical data models.
• Build structured, reusable, and analytics-ready datasets.
• Contribute to master data (Customer, Vendor, Material) and finance reporting layers.
• Apply sound modelling principles to ensure scalability and performance.
• Ensure alignment with enterprise data product standards.
• Hands-on modelling capability is expected.

Data Quality & Governance

• Implement and monitor data quality checks using Ataccama.
• Work with Atlan or similar data catalog/governance tools.
• Support lineage documentation and metadata management.
• Perform validation, reconciliation, and issue resolution.
• Contribute to enterprise data standardisation initiatives.

Hands-on Technical Contribution

• Actively code SQL and Python transformations.
• Troubleshoot pipeline failures and data inconsistencies.
• Optimise joins, aggregations, and transformation logic.
• Assist in resolving data challenges across fragmented ERP sources.
• Continuously improve performance and reliability of pipelines.

Business Collaboration

• Work with Tech Leads and stakeholders to understand requirements.
• Translate business definitions and KPIs into structured datasets.
• Build domain understanding in Finance and Corporate Functions.
• Ensure delivered datasets are consumption-ready.

Engineering Practices & Collaboration

• Follow best practices in SQL, Python, and data modelling.
• Adhere to CI/CD and DevOps standards.
• Contribute to reusable framework and data product initiatives.
• Collaborate effectively within agile data teams.
• Continuously improve engineering quality and standards.

Required Qualifications

• 4–7 years of experience in data engineering.
• Strong hands-on expertise in SQL.
• Strong Python programming skills.
• Practical data modelling experience.
• Experience with Snowflake.
• Experience working on AWS and GCP.
• Experience with Ataccama.
• Experience with Atlan or similar data catalog/governance tools.
• Proven experience building and maintaining scalable data pipelines.
• Exposure to working with multiple enterprise data sources (ERP preferred).
• Strong analytical and problem-solving skills.
• Ability to work in a highly technical, hands-on role.

Preferred Qualifications

• ERP exposure (SAP ECC, JDE, Baan, etc.).
• Master data or finance domain experience.
• Familiarity with modern data platform or Lakehouse architectures.
• Exposure to AI/ML data preparation use cases.
• Experience working in agile, enterprise-scale data teams.

Benefits

We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.

• Enjoy your best years with our retirement savings plan
• Have peace of mind and body with our health insurance
• Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme
• Drive forward your career through professional development opportunities
• Achieve your personal goals with our Employee Assistance Programme.

Our commitment to you

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now!

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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