Role Overview :

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.

- Good knowledge of SQL and data modeling concepts.

- Experience with CI/CD, Git, and Agile methodologies.

- Strong problem-solving and debugging skills.

Good to Have :

- Exposure to Python or Spark.

- Experience in handling large-scale enterprise data platforms.

- Experience with Pub/Sub, Cloud Composer, Cloud Storage, Dataproc, or Kafka.

Preferred Qualifications :

- Bachelor's/Master's degree in Computer Science, Engineering, or related field.

- GCP certifications are an added advantage.