Lead Data Engineer - GCP
Hyderabad, TS, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign 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.
From the employer’s posting
Key Responsibilities Design and develop scalable and reliable data pipelines using GCP services. Develop data processing and transformation solutions using Python and SQL.
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.
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.
What you’ll bring
All qualificationsCore experience
- 6+ years of experience in Data Engineering.
- Good understanding of data warehousing, data modeling, and distributed data processing.
- Experience with Terraform or Infrastructure as Code.
- Strong expertise in SQL, including complex queries, joins, CTEs, window functions, and query optimization.
- Experience with Git and CI/CD practices.
- Experience with real-time/streaming data pipelines.
Preferred experience
- Experience with Apache Spark / PySpark is preferred.
Qualification wording
6+ years of experience in Data Engineering.
Good understanding of data warehousing, data modeling, and distributed data processing.
Experience with Terraform or Infrastructure as Code.
Strong expertise in SQL, including complex queries, joins, CTEs, window functions, and query optimization.
Experience with Git and CI/CD practices.
Experience with real-time/streaming data pipelines.
Experience with Apache Spark / PySpark is preferred.
Tools in this posting
- Python
- SQL
- Google Cloud (GCP)
- Spark
- Terraform
- PySpark
- Google Cloud Storage
- BigQuery
Source — Tool mentions in context
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.
- Strong hands-on experience with Google Cloud Platform (GCP). - Strong programming experience in Python. - Strong expertise in SQL, including complex queries, joins, CTEs, window functions, and query optimization.
- Strong programming experience in Python. - Strong expertise in SQL, including complex queries, joins, CTEs, window functions, and query optimization. - Experience developing ETL/ELT data pipelines.
Key Responsibilities - Design and develop scalable and reliable data pipelines using GCP services. - Develop data processing and transformation solutions using Python and SQL.
- 6+ years of experience in Data Engineering. - Strong hands-on experience with Google Cloud Platform (GCP). - Strong programming experience in Python.
- Experience developing ETL/ELT data pipelines. - Hands-on experience with one or more GCP services such as:- BigQuery - Cloud Storage (GCS)
- Dataproc - Experience with Apache Spark / PySpark is preferred. - Good understanding of data warehousing, data modeling, and distributed data processing.
Nice to Have - Experience with Terraform or Infrastructure as Code. - Exposure to GCP Dataform.
- Hands-on experience with one or more GCP services such as:- BigQuery - Cloud Storage (GCS) - Cloud Composer / Airflow
Job description
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).
- Strong 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 services such as:
- BigQuery
- Cloud Storage (GCS)
- Cloud Composer / Airflow
- Dataflow
- Pub/Sub
- Dataproc
- Experience with Apache Spark / PySpark is preferred.
- Good understanding of data warehousing, data modeling, and distributed data processing.
- Experience with Git and CI/CD practices.
Nice to Have
- Experience with Terraform or Infrastructure as Code.
- Exposure to GCP Dataform.
- Experience with real-time/streaming data pipelines.
- Knowledge of cloud security and IAM.
- Experience working in Agile environments.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Company Description
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.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, TS, India
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Aug 24, 2026
- Recorded sightings
- 93
- Last seen by us
- Sep 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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