Job
Description
We're seeking a Project Leader, who is a self-starter , and brings a unique mix of data engineering expertise and analytical problem-solving ability to play a key role in the delivery of cutting-edge analytical solutions at BCN Labs. This role sits at the intersection of robust data platform engineering, software development and client-oriented delivery, requiring both hands-on implementation skills and the knack for strategic thinking to solve real world business problems. As a PL, you will drive the end-to-end data pipeline lifecycle - from designing robust architectures to deploying production-grade analytical solutions. you'll also work closely with analysts, data scientists and business stakeholders to frame problems, validate solutions, and lead teams in client delivery. A PL will be responsible to: Architect and Deliver Scalable Data Pipelines : Build, optimize, and maintain batch and streaming pipelines using modern data engineering tools and frameworks (eg, PySpark, Airflow, Snowflake etc). End-to-End Project Leadership: Own the full delivery cycle from data ingestion and transformation to application deployment and monitoring in the cloud. Analytical Framing : Work with project teams to understand business needs and help shape technical solutions that are analytically sound and measurable in terms of business value. Mentorship and Team Leadership : Lead a team of engineers and analysts, providing technical guidance, code reviews, and project oversight to ensure quality and impact. Help build the next layer of people with full-stack capabilities at BCN Labs. Hands-on Development : Write and review clean, modular, production-ready code. Ensure scalability, reusability, and maintainability of solutions. Client & Stakeholder Engagement : Communicate complex technical concepts and insights clearly and persuasively to non-technical audiences, both internally and externally. Data Infrastructure Innovation: Contribute to internal tooling, frameworks, and automation efforts to accelerate the Labs data engineering capabilities. Collaborate on Analytical Solutions : Work with data scientists by enabling high-performance, we'll-governed data environments and workflows. Education & Experience: bachelors or masters degree in Computer Science, Information Technology, Engineering, or a related field. 5+ years (Masters + 3+ years) of proven experience in data engineering, software development, and building scalable data pipelines in a production environment. Demonstrated expertise in driving end-to-end analytical solution delivery from data ingestion and transformation to cloud deployment and performance optimization. You will fit into our team-oriented structure with a college/hostel-style way of working, having the comfort of reaching out to anyone for support that can enable our clients better Core Technical Skills: Expertise in Python with solid experience in writing efficient, maintainable, and testable code for data pipelines and services. Strong skills in SQL (and NoSQL DB) for data transformation, analysis, and performance tuning. Proficiency with HTML, CSS, JavaScript, AJAX to build data-driven UIs or Web Apps. Experience in developing, integrating and consuming RESTful APIs and working with microservices architecture. Frameworks & Platforms: Hands-on experience with Python-based frameworks like FastAPI, Django and/or Streamlit for building data apps or APIs. Solid frontend development skills, with experience using modern JavaScript frameworks such as React and/or Vue.js to build interactive, data-driven UIs and Web Apps. Familiarity with Docker, Git, CI/CD pipelines, and modern software delivery practices. Experience deploying and managing data solutions on AWS or Azure (eg, Lambda, EC2, S3, Data Factory). Strong preference for candidates with real-world experience in Apache Airflow, PySpark, and Snowflake. Knowledge of container orchestration (Eg: Kubernetes) is a plus
