Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Job Description

We are looking for a
Senior GCP Data Engineer
with 6+ years of experience in designing, developing, and maintaining scalable data engineering solutions on
Google Cloud Platform (GCP)
. The ideal candidate should have strong hands-on expertise in
Python, SQL, data pipelines, and GCP data services
.

Key Responsibilities
- Design and develop scalable and reliable
data pipelines
using GCP services.




- Develop data processing and transformation solutions using
Python and SQL
.
- Build and optimize ETL/ELT pipelines for large-volume datasets.
- Work with business and technical teams to understand data requirements and deliver robust solutions.
- Perform data modeling, data validation, and performance optimization.
- Monitor and troubleshoot data pipelines and resolve production issues.
- Implement data quality, security, and governance best practices.
- Participate in code reviews and contribute to technical design and architecture discussions.

Qualifications
- 6+ years of experience in Data Engineering.
- Strong hands-on experience with
Google Cloud Platform (GCP)
.
- Robust programming experience in
Python
.
- Strong expertise in
SQL
, including complex queries, joins, CTEs, window functions, and query optimization.
- Experience developing
ETL/ELT data pipelines
.
- Hands-on experience with one or more GCP ser

📌 Data Engineering Manager (Hyderabad)
🏢 Blend
📍 Hyderabad