Mid Data Engineer GCP & Spark
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Mid Data Engineer GCP & Spark
Bengaluru, Karnataka
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Experience
5–8 yrs
Salary
Not disclosed
Job type
Full-time
Openings
1
Education
Any graduate
Apply by
18 Oct 2026
We are seeking a skilled Data Engineer to design, develop, and support scalable data pipelines and large-scale data processing solutions within the Google Cloud Platform (GCP) ecosystem. The ideal candidate will have strong hands-on experience with Spark, BigQuery, Dataproc, SQL, and cloud-based data engineering practices.
- Design, develop, and maintain scalable data pipelines using Apache Spark (PySpark or Scala).
- Build and optimize batch and distributed data processing workflows on GCP.
- Work extensively with BigQuery for data transformation, analytics, validation, and reporting.
- Develop and maintain data workflows using GCP services such as Dataproc, BigQuery, and Cloud Storage.
- Design end-to-end data pipeline architectures with a focus on scalability, reliability, and performance.
- Troubleshoot, debug, and resolve complex data processing and performance issues.
- Strong hands-on experience with Apache Spark (PySpark and/or Scala).
- Strong SQL skills with experience working on large-scale datasets.
- Hands-on experience with Google Cloud Platform (GCP).
- Practical experience with BigQuery and data warehouse concepts.
- Experience working with Dataproc or similar distributed data processing platforms.
- Strong understanding of data pipelines and end-to-end workflow design.
Skills
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