Lead Data Engineer

Enixza Technologies; Bengaluru; Hybrid; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Pub/Sub and Cloud tools exposure

Job summary

Enixza Technologies is seeking a Lead Data Engineer with strong GCP, Dataflow/Beam, Java, and BigQuery expertise. You will design, build, and optimize scalable data pipelines for enterprise apps, balancing real-time and batch processing.

The ideal candidate has 7+ years of data engineering experience, deep-cloud focus on GCP services, and a track record of delivering robust data solutions. Hybrid work in India is offered.

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
• 7+ years of data engineering experience in cloud environments.
• Strong cloud data engineering skills in GCP, Dataflow, Java, and BigQuery.

Responsibilities

• Design and develop scalable ETL/ELT pipelines using GCP services.
• Build real-time and batch data pipelines with Dataflow/Beam.
• Develop backend processing solutions in Java.
• Work with BigQuery for warehousing and analytics.
• Integrate data from APIs, databases, and streaming sources.
• Optimize pipelines for cost, performance, and scalability on GCP.
• Collaborate with Architects, Analysts, DevOps and stakeholders.
• Ensure data quality, governance, monitoring, and security.
• Troubleshoot production issues and deliver scalable fixes.

Skills

GCP services

Dataflow / Apache Beam

Java

BigQuery

Batch & streaming pipelines

SQL and data modelling

CI/CD & Git & Agile

Problem solving & debugging

Education

Bachelor’s / Master’s in CS or related

Tools

Pub/Sub

Cloud Composer

Cloud Storage

Dataproc

Kafka

Python

Spark

Job description

Job Title:

Lead Data Engineer – GCP | Dataflow | Java | BigQuery

Experience:

7+Years

Location:

Chennai / Bangalore / Coimbatore (Hybrid)

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.
• 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.