Data Platform Lead

3 weeks ago


Bengaluru, India Nityo Infotech Full time

Job Summary:We are looking for a highly skilled and hands-on Data Platform Lead with deep expertise in Python, API development, and GenAI technologies. The ideal candidate will have a proven track record of implementing complex data solutions, coordinating effectively with infrastructure teams and customers, and solving challenging technical problems with creativity and precision.Key Responsibilities:Hands-on Implementation: Architect, develop, and maintain scalable data platforms using Python, APIs, and modern data technologies.GenAI Integration: Apply GenAI tools for code generation, SQL optimization, anomaly detection, and intelligent automation.Infrastructure Coordination: Collaborate closely with infrastructure teams to ensure seamless deployment, scalability, and performance of data solutions.Customer Engagement: Act as a technical liaison with internal and external stakeholders to gather requirements, provide updates, and ensure satisfaction.Problem Solving: Lead troubleshooting efforts for complex data issues, performance bottlenecks, and integration challenges.Platform Modernization: Drive initiatives around cloud migration, real-time data processing, and AI-powered data monitoring.Team Leadership: Mentor junior engineers and foster a collaborative, innovative engineering culture.Required Qualifications:10+ years of experience in data engineering, software development, or platform architecture.Strong proficiency in Python, RESTful API development, and microservices architecture.Hands-on experience with GenAI tools (e.g., GitHub Copilot, OpenAI Codex, Databricks AI functions).Expertise in SQL performance tuning and query optimization.Experience with cloud platforms (Azure, AWS, GCP) and modern data stacks.Strong coordination skills with infrastructure and customer-facing teams.Excellent analytical, problem-solving, and communication skills.Preferred Qualifications:Experience with data warehouse technologies (ClickHouse, Snowflake, BigQuery).Familiarity with agentic AI systems and autonomous data monitoring.Background in semiconductor, manufacturing, or high-tech industries.Contributions to open-source projects or technical publications.



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