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