Job Description Role Purpose and Overview
This role is designed for a seasoned Technical Lead specializing in Big Data and Hadoop environments. The primary focus is to drive the development and optimization of complex data pipelines, ensuring high performance, scalability, and data integrity. You will be responsible for developing, reviewing, and enhancing module-level code, designing robust replication strategies to promote data reliability, and conducting thorough root cause analyses to resolve recurring data issues. Collaboration is key, as you will work closely with both internal teams and external partners to deliver thoroughly documented, well-architected solutions that align with overarching business goals and technical standards.
This role provides a unique opportunity to lead and influence significant data engineering projects and to mentor peers, contributing to a culture of continuous improvement and shared technical excellence.
You will be instrumental in enabling the organization’s data-driven strategies through creative application of industry-leading big data technologies and architectural best practices.
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Key Responsibilities
Lead comprehensive projects encompassing the design, implementation, automation, and ongoing maintenance of large-scale ETL pipelines, ensuring they meet stringent product requirements and performance benchmarks.
Support and mentor other data engineers, facilitating their integration and growth within the team, while nurturing a collaborative, knowledge-sharing environment.
Serve as a technical authority and subject matter expert, providing guidance in data engineering best practices and troubleshooting complex data-centric issues.
Adopt and advocate for industry standards such as source control discipline, comprehensive code reviews, rigorous data validation, and continuous testing methodologies.
Deliver resilient and efficient data pipelines that meet or exceed defined latency and reliability service level
📌 Big Data Hadoop Engineer (Pune)
🏢 Wipro
📍 Pune
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