Mandatory Active Python Coding Experience of 5+ Years.
Role : Data Engineering Manager.
Experience : 6 12 Years.
Location : Ahmedabad (work from office).
Are you passionate about building modern data platforms and leading high-performing engineering teams? We're seeking a Data Engineering Manager to drive the design, development, and deployment of scalable data pipelines and solutions that power analytics and decision-making across the enterprise.
This is a critical leadership role for someone eager to solve complex data problems, influence architecture, and collaborate cross-functionally in a fast-paced, innovation-driven environment.
Key Responsibilities :
- Lead and mentor a team of data engineers delivering high-quality, production-grade data solutions.
Mandatory, Active Python Coding Experience of 4+ Years.
Oversee development of frameworks for data ingestion, integration, and governance.Ensure data platform stability, scalability, and adherence to operational SLAs.Collaborate with product owners and stakeholders to shape and execute data strategy.Build and maintain APIs, DevOps pipelines, and support CI / CD for data products.Act as functional data SME, owning the lifecycle of critical data assets.Champion Agile and modern engineering practices in delivery cycles.Required Skills & Experience :
Bachelor's or Masters in Computer Science, IT, Statistics, or related field.3+ years of hands-on experience in data engineering and software development.Proficiency in Active Python Coding Experience is mandatory, SQL, and data testing frameworks.Experience with cloud platforms (preferably Azure) and building APIs.Strong grasp of DevOps, CI / CD, and Agile delivery methodologies.Track record in designing and maintaining enterprise-grade data pipelines.Ability to collaborate across teams and drive change in a dynamic environment.What You Bring :
A mindset of ownership, innovation, and continuous improvement.Passion for mentoring and team development.Strong communication and stakeholder management skills.An eagerness to challenge the status quo and drive impactful outcomes.A collaborative, transparent approach to building scalable data ecosystems.(ref : hirist.tech)
