Data engineering manager – ai

3 weeks ago

Pushkar, India AIMLEAP Full time

Data Engineering Manager – AI & AutomationExperience: 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 / Fin Tech / 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 Lang Chain, Llama Index, or Auto Gen. Experience with AWS, Git Hub, CI/CD, Jira, Click Up, and Dev Ops 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, Beautiful Soup, 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, Fin Tech, 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, Click Up, 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 (Lang Chain, Llama Index, Auto Gen) preferred. Working knowledge of AWS, Git Hub, Dev Ops (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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