Lead Data Engineer - GCP
At a glance
Senior Data Engineering role at Blend360. Hyderabad · full-time.
Pay not stated Lead Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build dependable, scalable data pipelines with GCP services, including for large datasets
- Use Python and SQL to process and transform data, and improve ETL/ELT workflows
- Translate business and technical data needs into solutions, then model and validate the data
- Track pipeline health, fix production problems, and improve performance, quality, security and governance
- Join code reviews and technical design discussions to shape data architecture
What you bring
- At least six years in data engineering, building and maintaining solutions on Google Cloud
- Strong Python skills and advanced SQL, including query tuning and complex query patterns
- Hands-on work developing ETL/ELT pipelines and using BigQuery, Cloud Storage or another listed GCP service
Who this fits
This senior, hands-on engineering role suits someone comfortable working across data pipelines, modeling, production support and technical design. The position is onsite in Hyderabad. Spark or PySpark, Git and CI/CD, and experience with streaming data or Terraform are listed as preferred or additional strengths.
From the employer
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.
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.
- 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.
All your information will be kept confidential according to EEO guidelines.
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