Data Engineer at Carrier

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Snowflake, AWS, GCP, Data Pipelines, Data Modelling, Ataccama, Atlan, Data Governance, ERP Integration, CI/CD, DevOps, Data Quality, Automation, Data Catalog

Industry

Wholesale Building Materials

Description

Role: 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. About the Role: The Data Engineer is a hands-on technical role responsible for designing, developing, and optimising scalable data pipelines and analytical datasets within a multi-cloud environment (Snowflake, AWS, GCP). The role supports Corporate Functions across Finance and Master Data domains, integrating data from multiple ERP systems (SAP ECC, Atlas, JDE, Baan, etc.). Strong engineering fundamentals and exposure to governance and data quality frameworks are essential. Technical proficiency in SQL and Python, along with the ability to translate business requirements into reusable datasets, is required. Key Responsibilities: Data Engineering & Pipeline Development Develop and maintain scalable data pipelines for ingestion and transformation. Write advanced, optimised SQL queries (mandatory core skill). Use Python for transformation logic, automation, and data processing. Work across Snowflake, AWS, and GCP platforms. Support ingestion and harmonisation of multi-source ERP data. Optimise pipelines for performance, scalability, and cost efficiency. Data Analysis & Dataset Development Analyse datasets to identify trends, anomalies, and inconsistencies. Build structured and business-ready datasets for reporting and analytics. Translate stakeholder requirements into reliable transformations. Ensure datasets are intuitive, governed, and reusable. Support downstream analytics and reporting use cases. Data Modelling & Structured Design Assist in implementing logical and physical data models. Apply strong data modelling fundamentals. Build clean, reusable, analytics-ready datasets aligned with enterprise standards. Contribute to master data and finance reporting layers. Hands -on modelling exposure is expected. Data Quality & Governance Perform validation, profiling, and quality checks using Ataccama (required experience). Work with Atlan or similar data catalog/governance tools (required). Support metadata documentation and lineage tracking. Identify and resolve inconsistencies across ERP sources. Contribute to enterprise standardisation and governance initiatives. Business Collaboration Work closely with Finance and Corporate stakeholders. Understand KPIs, business definitions, and data expectations. Translate business logic into structured transformations. Ensure datasets are aligned to real-world business usage. Engineering Discipline & Growth Follow best practices in SQL, Python, and pipeline design. Collaborate with Senior Engineers and Tech Leads. Adhere to CI/CD and DevOps practices. Continuously improve data reliability, documentation, and usability. Build capability toward Senior Data Engineer (P2) and Specialist (P3) roles. Required Qualifications 4–7 years of experience in data engineering and/or data analysis. Strong hands-on SQL expertise Python programming experience. Practical understanding of data modelling fundamentals. Experience with Snowflake. Experience working on AWS and GCP. Experience with Ataccama. Experience with Atlan or similar data catalog/governance tools. Experience building and maintaining data pipelines and analytical datasets. Strong analytical and problem-solving mindset. Ability to work across both engineering and analytical tasks in a hands-on capacity. Preferred Qualifications: ERP exposure (SAP ECC, JDE, Baan, etc.). Experience with master data or finance datasets. Understanding of data governance, lineage, and metadata concepts. Familiarity with CI/CD and DevOps practices. Exposure to enterprise-scale data environments. 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. Job Applicant's Privacy Notice: Click on this link to read the Job Applicant's Privacy Notice At Carrier we make modern life possible by delivering groundbreaking systems and services that help homes, buildings and shipping become safer, smarter and more sustainable. We exceed the expectations of our customers by anticipating industry trends, working tirelessly to master and revolutionize them. Our team of approximately 56,000 dedicated individuals continues to mold industry standards by pursuing the latest research and developments to improve the lives of our customers. We’re constantly growing, seeking out talented, likeminded people who are committed to our primary duty: to be the world’s first choice in security, shipping and HVAC technology.

Responsibilities

The Data Engineer will be responsible for designing, developing, and optimizing scalable data pipelines and analytical datasets across multi-cloud environments like Snowflake, AWS, and GCP, focusing on Finance and Master Data domains from various ERP systems. Key tasks include writing advanced SQL, using Python for transformations, ensuring data quality using Ataccama, and building governed, reusable datasets for analytics.