Role: GCP + Java / Big Data Engineer
Experience: 1–4 Years
Location: Chennai (Hybrid/On-site)
Role Overview:
We are seeking a passionate and detail-oriented Data Engineer with hands-on experience in GCP, Java, and Big Data technologies. In this role, you will be responsible for designing and developing scalable, high-performance data processing systems and cloud-based data pipelines.
You will work closely with cross-functional teams including Data Scientists, Analysts, and Cloud Engineers to build robust data solutions that drive business insights and decision-making.
Key Responsibilities:
- Design, build, and maintain scalable ETL/ELT pipelines using Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage
- Develop and optimize data processing applications using Java for high-volume, low-latency environments
- Leverage Apache Spark / PySpark for distributed data processing and transformation
- Write complex and optimized SQL queries for large datasets ensuring performance and efficiency
- Work with structured and unstructured data, ensuring data quality, validation, and governance
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions
- Perform performance tuning, debugging, and troubleshooting of data pipelines and applications
- Contribute to CI/CD pipelines, version control, and deployment automation in cloud environments
- Ensure adherence to best practices in data engineering, security, and scalability
- Stay updated with emerging trends in Big Data, Cloud, and AI technologies
Primary Skills (Must Have):
- Hands-on experience with Google Cloud Platform (GCP) (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.)
- Strong programming skills in Java
- Solid understanding of Big Data ecosystem (Hadoop, Spark, distributed computing concepts)
Secondary Skills (Good to Have):
- Proficiency in SQL for data querying and transformation
- Experience with Apache Spark / PySpark
- Working knowledge of Python for scripting and data processing
Good to Have Skills:
- Exposure to Generative AI (Gen AI) concepts, tools, or use cases
- Familiarity with machine learning pipelines or AI integrations
- Understanding of data governance, data security, and compliance practices
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field
- 1–4 years of relevant experience in Data Engineering / Big Data / Cloud
Key Competencies:
- Strong analytical and problem-solving skills
- Ability to work in a fast-paced, collaborative environment
- Good communication and stakeholder management skills
- Proactive mindset with a strong eagerness to learn and grow
