Carrier
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Hyderabad · On-site · 6-9 Yrs · 5 days ago
Machinery Manufacturing · 10000+ Employees · Palm Beach Gardens, US
As the leading global provider of healthy, safe and sustainable building and cold chain solutions, Carrier Global Corporation is committed to making the world safer, sustainable and more comfortable 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. For more information, visit www.Corporate.Carrier.com or follow us on social media at @Carrier.
Hiring: Engineering
What employees say
+ Good environment and vast of projects
− Need some good amount of office space
More reviews on the company profile.
Interview experience · HR Analyst
Interview process was easy and comfortable. Interviewer was to the point while asking questions, and make sure no irrelevant question was asked. They were more focused on my skills rather than my background.
Average difficulty · Gurgaon, Haryana · 85 reports
More interview insightsJob description
Overview
Role: Data Engineer - Specialist
Responsibilities
- Data Pipeline & Lakehouse Engineering
- Design and implement robust, reusable data pipelines for batch and streaming use cases using AWS-native services (e.g., S3, Glue, Kinesis) and orchestration tools (e.g., Airflow) where applicable.
- Build and standardize medallion-layered ingestion and transformation patterns (raw → silver → gold) as a repeatable engineering approach.
- Develop and optimize Iceberg (or similar open table format) datasets with strong practices for schema evolution, partitioning, and performance for multi-engine consumption.
- Open Standards, Interoperability & Cloud-Agnostic Delivery
- Apply open standards to reduce lock-in by designing storage and metadata layers that work across engines (e.g., Athena/Trino/EMR/Redshift/Snowflake/Databricks depending on enterprise choices).
- Contribute to enterprise adoption of Apache Iceberg as the open table standard for interoperability and portability across environments.
- Implement standardized interfaces for pipelines and data products (e.g., config-driven patterns) to support portability and consistent operations.
- Data Quality, Governance, Metadata & Lineage
- Embed automated quality checks, data validation, and pipeline test coverage, ensuring trusted datasets for analytics and AI/ML.
- Emit lineage/metadata signals by instrumenting pipelines to produce OpenLineage events (or equivalent enterprise lineage standards) and register assets in the enterprise catalog as required.
- Ensure consistent ownership, documentation, and discoverability for produced datasets/data products.
- Operational Excellence (DataOps/DevOps)
- Champion CI/CD for data pipelines and infrastructure changes, including automated checks and safe promotion across environments.
- Implement observability (metrics, logs, alerts) and contribute to incident triage and reliability improvements for production pipelines.
- Partner with Security/Platform teams on IAM least privilege, access controls, and governed data access patterns.
- Technical Leadership & Collaboration
- Work closely with platform engineers, data product owners, governance teams, and downstream consumers to deliver curated datasets and reusable platform capabilities.
- Mentor junior engineers and help define internal standards, frameworks, and best practices for lakehouse engineering.
Qualifications
- 6 to 10 years years of experience in data engineering or related roles.
- Proficiency in Python and SQL.
- Strong understanding of batch and streaming data processing.
Benefits
- 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.
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Data Engineer – Specialist at Carrier?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Carrier may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer – Specialist role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer – Specialist remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Data Engineer – Specialist role at Carrier?
- This is a mid-level Data Engineer – Specialist role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.