Data Engineering Manager – AI

3 weeks ago


Delhi, India AIMLEAP Full time

Data Engineering Manager – AI & Automation Experience: 7 to 12 Years Location: Remote (Work from Home) / Bangalore / India Mode of Engagement: Full-time No of Positions: 2 Educational Qualification: MBA / B.E / B.Tech / M.Tech / MCA / Computer Science / IT Industry: IT / Data / AI / E-commerce / FinTech / Healthcare Notice Period: Immediate What We Are Looking For: - 7–12 years of experience in managing end-to-end data engineering and delivery projects, including Python-based data scraping, ETL, and dashboarding. - Proven experience in leading teams, setting up complex data engineering projects, and establishing data pipelines integrating scraping, processing, and analytics. - Hands-on proficiency in Python, SQL, ETL frameworks, and web scraping, with working knowledge of AI tools and automation frameworks like LangChain, LlamaIndex, or AutoGen. - Experience with AWS, GitHub, CI/CD, Jira, ClickUp, and DevOps tools for delivery tracking, workflow automation, and performance optimization. Responsibilities: - Lead and manage multiple data engineering and AI-enabled delivery projects, ensuring scalability, performance, and high-quality outcomes. - Architect and implement data pipelines and scraping systems using Python, Pandas, BeautifulSoup, or Scrapy, integrating AI-based automation where applicable. - Collaborate with cross-functional teams — Data Engineers, Python Developers, and Analysts — to design, build, and optimize large-scale data systems and dashboards. - Drive automation and AI adoption across projects to improve efficiency in scraping, transformation, and reporting workflows. - Work closely with clients across IT, FinTech, E-commerce, and Healthcare domains to understand technical needs, plan delivery schedules, and ensure data integrity. - Establish and monitor data quality, governance, and compliance standards throughout project execution. - Mentor and guide team members on Python best practices, AI frameworks, and data engineering design patterns. - Manage project timelines, status reporting, and delivery metrics using Jira, ClickUp, and CI/CD pipelines. Qualifications: - Bachelor's or master's degree in engineering, Computer Science, or related field. - Strong hands-on expertise in Python, SQL, ETL, Advanced Excel, Power BI, and web scraping frameworks. - Exposure to AI and automation frameworks (LangChain, LlamaIndex, AutoGen) preferred. - Working knowledge of AWS, GitHub, DevOps (Docker, Kubernetes), and workflow automation tools. - Proven experience managing cross-functional data delivery teams and handling international client communication. - Excellent analytical, leadership, and problem-solving skills. - Project Management certifications (PMP, Agile, or Scrum Master) are an added advantage.



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