We are seeking a highly skilled Lead Big Data Developer to architect, drive, and optimize large-scale data engineering solutions in a modern, modular, and highly automated environment. The ideal candidate will have extensive experience in building and leading end-to-end big data pipelines, with deep expertise in distributed systems, data transformation frameworks (such as DBT), and advanced data engineering best practices. You will play a pivotal role in guiding a team of developers, collaborating with cross-functional stakeholders, and ensuring the delivery of robust, scalable, and high-performance data solutions.

Key Responsibilities

Technical Leadership:

• Lead the design, development, and deployment of big data solutions using Java, Apache Spark, and modern orchestration tools.
• Architect and optimize data workflows, ensuring modularity, scalability, and maintainability across multiple domains and business units.
• Guide the adoption and integration of low-code transformation platforms (e.g., DBT) and ensure best practices in SQL-based transformation logic.
• Should be able to debug and fine tune workload , processing billions of records
  
  

Solution Delivery & Collaboration

• Oversee the development and management of APIs for data ingestion, transformation, and consumption, ensuring seamless integration with upstream and downstream systems.
• Collaborate with product managers, data scientists, analysts, and platform teams to translate business requirements into technical deliverables.
• Drive the implementation of metadata-first strategies, ensuring comprehensive cataloging, lineage, and data quality across the platform.
  
  

Quality, Observability & Governance

• Implement and enforce data engineering standards for quality, integrity, and security.
• Leverage observability suites for active and passive data validations, anomaly detection, and performance monitoring.
• Ensure robust governance by supporting RBAC/ABAC controls and compliance requirements.
  
  

Mentorship & Team Development

• Mentor and coach a team of big data engineers, fostering a culture of innovation, continuous improvement, and technical excellence.
• Conduct code reviews, knowledge sharing sessions, and technical upskilling initiatives.
  
  

Continuous Improvement

• Stay abreast of emerging trends in big data, cloud-native technologies, MLOps, and GenAI integration.
  
  

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