Senior Data Engineer

Role: Senior Data Engineer

Location: Hyderabad / Bangalore

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 Senior Data Engineer – Lakehouse & Data Products is responsible for designing, building, and operating scalable, production‑grade data solutions and data products using a modern Lakehouse architecture deployed across AWS and Google Cloud Platform (GCP).
This role requires strong hands‑on engineering expertise, a product‑oriented mindset, and the ability to work across multi‑cloud environments. You will collaborate closely with data product owners, architects, and platform teams to deliver trusted, reusable, analytics‑ready data products that support reporting, advanced analytics, and AI/ML use cases.

Key Responsibilities

1. Lakehouse‑Based Data Engineering (AWS & GCP)

• Design and implement Lakehouse architectures using object storage and open table formats (e.g., Apache Iceberg) to support ACID transactions, schema evolution, and time‑travel.
• Build and maintain batch and streaming data pipelines on:
• AWS (e.g., S3, Glue, Kinesis, Spark)
• GCP (e.g., GCS, Dataproc, Dataflow, Pub/Sub)
• Implement medallion architecture patterns (raw / bronze → silver → gold) consistently across clouds.

2. Data Product Development

• Develop curated, governed, and consumption‑ready data products aligned to business domains.
• Partner with Data Product Owners and stakeholders to translate requirements into robust technical implementations.
• Ensure data products are discoverable, reusable, and well‑documented, supporting analytics and downstream AI/ML use cases.

3. Data Modeling & Quality

• Design and maintain analytical data models optimized for BI, reporting, and advanced analytics.
• Implement data quality checks, validation rules, and monitoring within pipelines.
• Manage schema evolution and ensure adherence to enterprise data standards across AWS and GCP.

4. DataOps, CI/CD & Automation

• Apply DataOps and DevOps best practices by implementing CI/CD pipelines for data pipelines and data products.
• Enable automated testing, deployment, and rollback across cloud environments.
• Collaborate with platform and DevOps teams to improve observability, reliability, and operational maturity.

5. Performance, Reliability & Cost Optimization

• Optimize pipelines for performance, scalability, and cost efficiency on both AWS and GCP.
• Monitor and tune compute and storage usage in collaboration with platform and FinOps teams.
• Troubleshoot and resolve complex production issues across multi‑cloud environments.

6. Technical Leadership & Collaboration

• Act as a senior technical contributor and mentor for junior and mid‑level data engineers.
• Participate in design and code reviews to maintain high engineering standards.
• Contribute to reusable frameworks, templates, and best practices for data engineering.

Required Qualifications

• 4 to 6 years of experience in data engineering or related roles.
• Strong hands‑on experience building Lakehouse‑based data platforms.
• Proven experience with AWS data services (e.g., S3, Glue, Kinesis, Athena, Redshift, EMR).
• Proven experience with GCP data services (e.g., GCS, Dataproc, Dataflow, BigQuery, Pub/Sub).
• Experience using open table formats such as Apache Iceberg (or equivalent).
• Proficiency in Python and SQL.
• Strong understanding of batch and streaming data processing.
• Experience delivering production‑ready data products.

Preferred Qualifications

• Experience working in multi‑cloud or cloud‑agnostic data environments.
• Familiarity with orchestration frameworks (e.g., Airflow or managed equivalents).
• Exposure to Infrastructure as Code and cloud‑native automation.
• Experience supporting AI/ML workloads on top of Lakehouse platforms.
• Prior experience mentoring engineers or leading technical workstreams.

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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