Big Data Developer

Job profiles - Big Data Developer (Senior Manager)

Experience - 7-10 yrs

Location - Pune

Job Description

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.

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.
• Drive proof-of-concept (POC) initiatives and evaluate new tools and frameworks for adoption.

Required Qualifications :

Preferred Qualifications

Benefits

If you are passionate about leading technical teams, architecting scalable data solutions, and driving innovation in a fast-paced environment, we invite you to join us as our Lead Big Data Developer.