Job Summary

We are looking for a highly skilled Senior Data Engineer with strong expertise in Google

Cloud Platform (GCP), Apache Beam/Dataflow, Java, and BigQuery. The ideal candidate

will be responsible for designing, building, and optimizing scalable data pipelines and

cloud-based data processing solutions for enterprise applications.

Key Responsibilities

- Design and develop scalable ETL/ELT pipelines using GCP services.
- Build and maintain real-time and batch data processing pipelines using Dataflow

and Apache Beam.

- Develop robust backend processing solutions using Java.
- Work extensively with BigQuery for data warehousing, analytics, and performance

optimization.

- Integrate data from multiple sources including APIs, databases, and streaming

platforms.

- Optimize pipeline performance, cost, scalability, and reliability on GCP.
- Collaborate with cross-functional teams including Architects, Analysts, DevOps,

and Business stakeholders.

- Ensure data quality, governance, monitoring,



and security best practices.
- Troubleshoot production issues and provide long-term scalable solutions.

Required Skills

- Strong hands-on experience with GCP services.
- Expertise in Google Dataflow / Apache Beam.
- Strong programming skills in Java.
- Hands-on experience with BigQuery.
- Experience in building batch and streaming data pipelines.
- Valuable knowledge of SQL and data modeling concepts.
- Experience with CI/CD, Git, and Agile methodologies.
- Strong problem-solving and debugging skills.

Good to Have

- Experience with Pub/Sub, Cloud Composer, Cloud Storage, Dataproc, or Kafka.
- Exposure to Python or Spark.
- Experience in handling large-scale enterprise data platforms.

Preferred Qualifications

- Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
- GCP certifications are an added advantage.

📌 Lead Data Engineer (India)
🏢 10decoders
📍 India