Data Pipelines Engineering Manager – Python

AIMLEAP Inc; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

AIMLEAP Inc is looking for a Data Pipelines Engineering Manager with 7 to 12 years of experience in managing end-to-end data systems. This role involves engineering and maintaining data delivery pipelines, leading teams, and ensuring high performance.

The ideal candidate must have expertise in Python, data scraping, and AWS cloud services. We offer a remote work option and seek individuals passionate about automation and AI-driven workflows.

Qualifications

• 7–12 years of experience in managing data systems, including data collection and AI model integrations.
• Strong background in building scalable APIs and microservices.
• Ability to lead teams and drive innovation through automation.

Responsibilities

• Lead and mentor engineering teams on data ingestion and delivery pipelines.
• Architect data systems for scraping and AI enrichment.
• Drive AI model customization to improve search intelligence.

Skills

Python

Data engineering

Data scraping

API-driven design

AWS

Docker

Kubernetes

AI/LLM integration

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Django

FastAPI

SQL

Jira/ClickUp

Job description

Data Pipelines Engineering Manager – Python

Experience: 7 to 12 Years

Location: Remote (Work from Home) / Bangalore, India

Mode of Engagement: Full-time

No of Positions: 2

Educational Qualification: B.E / B.Tech / M.Tech / MCA / Computer Science / IT

Industry: IT / Data / AI / LegalTech / Enterprise Solutions

Notice Period: Immediate

What We Are Looking For

• 7–12 years of experience in managing end-to-end data systems, including data collection, API-driven data delivery, and AI model integrations.
• Proven experience using large language models to automate and scale web data extraction, including building custom AI scraping pipelines for structured data collection at scale.
• Proven expertise in Python-based data engineering, data scraping, and pipeline orchestration for large-scale analytics and automation projects.
• Strong background in building scalable APIs, microservices, and data pipelines using Python, Docker, and Kubernetes.
• Experience in customizing open-source language models (LLMs) and integrating them into enterprise solutions.
• Proficiency in AWS cloud services, PostgreSQL/MySQL, CI/CD, and DevOps tools for continuous delivery and monitoring.
• Ability to lead distributed engineering teams, manage delivery timelines, and drive innovation through automation and AI-driven workflows.

Responsibilities

• Lead and mentor engineering teams responsible for designing, implementing, and maintaining data ingestion, transformation, and delivery pipelines.
• Architect data systems that combine scraping, big data processing, and AI-based enrichment to support analytics and product intelligence.
• Oversee API architecture and system scalability, ensuring high performance and secure data flow across services.
• Manage public data scraping and data integration projects that involve large, unstructured datasets and complex relational mappings.
• Drive AI model customization using open-source frameworks (LangChain, LlamaIndex or custom LLM integrations) to improve automation and search intelligence.
• Collaborate with product managers, AI teams, and data analysts to translate requirements into actionable data engineering tasks.
• Implement and monitor data quality, governance, and compliance standards throughout the data lifecycle.
• Optimize deployment processes using Docker, Kubernetes, AWS Lambda, and CI/CD pipelines.
• Conduct regular technical reviews, mentor developers, and establish best practices for Python, cloud deployment, and automation.

Qualifications

• Bachelor's or master's degree in computer science, Engineering, or related field.
• Hands‑on expertise in Python, Django, FastAPI, SQL, and API‑driven system design.
• Strong understanding of data pipelines, scraping frameworks (BeautifulSoup, Scrapy), and distributed data systems.
• Experience with AI/LLM integration, automation frameworks, and data‑driven architecture design.
• Proficiency in AWS cloud ecosystem, Docker, Kubernetes, and Git‑based CI/CD workflows.
• Demonstrated leadership in managing multi‑member engineering teams and delivering enterprise‑grade products.
• Excellent analytical, communication, and problem‑solving abilities.
• Familiarity with Agile methodologies, Jira/ClickUp, and project management best practices.

About Us

AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering Digital IT, AI‑augmented Data Solutions, Automation, and Research & Analytics Services.

AIMLEAP has been recognized as ‘The Great Place to Work®’. With focus on AI and automation‑first approach, our services include end‑to‑end IT application management, Mobile App Development, Data Management, Data Mining Services, Web Data Scraping, Self‑serving BI reporting solutions, Digital Marketing, and Analytics solutions.

We started in 2012 and successfully delivered projects in IT & digital transformation, automation driven data solutions, and digital marketing for more than 750 fast‑growing companies in the USA, Europe, New Zealand, Australia, Canada; and more.

– An ISO 9001:2015 and ISO/IEC 27001:2013 certified
– Served 750+ customers
– 12+ Years of industry experience
– 98% Client Retention
– Great Place to Work® Certified
– Global Delivery Centers in the USA, Canada, India & Australia.