Tekonika - Lead Data Engineer - Apache Spark

1 week ago

Itanagar India Tekonika Technologies Full time

Job Description Job Title : Lead Data Engineer Experience Required : 9 to 15 Years Mode of Work : Remote Job Description We are seeking a seasoned Lead Data Engineer with deep technical expertise and leadership experience to join our team. The ideal candidate should possess a strong foundation in data engineering, a solid understanding of machine learning workflows, and hands-on experience with modern data platforms such as Databricks. This role will require close collaboration with client-side ML engineers, Product Owners, and other stakeholders to ensure seamless delivery and optimization of data and AI-driven solutions. Key Responsibilities - Provide technical leadership and guidance to clients on the current data and analytics landscape. - Optimize and manage large-scale data pipelines, particularly using Apache Spark. - Collaborate with client ML engineers to define and implement MLOps and LLMOps processes. - Assist in productionizing Generative AI (GenAI) workflows; prior experience in GenAI is a plus, but strong knowledge is essential. - Work extensively with Databricks for data engineering and analytics tasks. - Partner with the clients Product Owner to identify resource requirements, manage team allocations, and plan project milestones and release schedules. - Lead and mentor a team of data engineers, ensuring high-quality delivery and adherence to best practices. Required Skills & Qualifications - 9- 15 years of experience in Data Engineering, with strong hands-on technical skills. - Proven experience with Apache Spark and performance optimization of data pipelines. - Working knowledge or experience in MLOps, LLMOps, and GenAI workflows. - Must have extensive hands-on experience with Databricks. - Strong communication and stakeholder management skills. - Experience in leading technical teams and handling project delivery in a collaborative environment. Nice To Have - Exposure to cloud platforms like Azure, AWS, or GCP. - Familiarity with data governance and security best practices. - Experience working in Agile environments. (ref:hirist.tech)

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