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.