
Senior Data Engineer
4 weeks ago
PLEASE READ THE JOB DESCRIPTION BEFORE APPLYING. Mandatory – Active Python Coding Experience of 5+ Years.
Role: Data Engineering Manager
Experience: 6 – 12 Years
CTC Budget: 20 – 35 LPA + 20% Variable
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 Master's 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
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