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

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

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:




Robust programming skills in Java.
Robust hands-on experience with GCP services.
Expertise in Google Dataflow / Apache Beam.
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.

Positive 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.

Experinence: 7+ Years

Work Location: Hybrid remote in Chennai, Tamil Nadu

📌 Lead Data Engineer Chennai
🏢 Rytsense Technologies Private
📍 Chennai