Lead Data Engineer

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.

Requirements

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 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.