Senior Data Engineer

Role Overview: We are seeking a passionate and detail-oriented Senior Data Engineer with hands-on experience in GCP 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.) Solid understanding of Big Data ecosystem (Hadoop, Spark, distributed computing concepts) 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 4–8 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