Engineering Manager- Data Platforms

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Data Platform team at Swiggy enables human and machine intelligence by building platforms and systems to process hundreds of terabytes of data. We are building a next generation platform that enables insights for Swiggy in the most optimal manner. This is an exciting time to join us as we revamp the platform capabilities and innovate at each platform layer to build systems that are scalable, reliable, observable and self-serve by design with strong data governance and security incorporated at each level to enable accelerated insights

Responsibilities And Scope

• You have the technical chops to roll up sleeves and provide technical leadership to major projects but also build and manage a team of 5-8 top-notch engineers.
• You not only optimize your own code but make sure engineers are able to optimize theirs. As an Engineering Manager, you manage your business goals, contribute to product strategy and help develop your team
• Create clear career paths for team members and help them grow with regular & deep mentoring. Perform regular performance evaluations and share and seek feedback.
• Operating with scale and speed amidst flux, there is just a LOT happening.
• Our world-class software engineers are just getting started -- and as a manager, you guide the way. You are their default mentor
• You work closely with Product Management, Business Development, and Operations team and enable them by providing scalable and high quality technology solutions at a rapid pace
• You set up best practices for development and champion their adoption and at the same time Architect & design technically robust, flexible and scalable solutions
• You work with data scientists, analysts, data engineers, and product managers to estimate and plan projects in an Agile environment
• Perform well in uncertainties and collaborate and work with unclear interfaces to other teams in our rapidly evolving organizations

Must-Have

• Excellent leadership skills to mentor the engineers
• Deep understanding of big data or data warehouse technologies and architecture in a highly scalable and available set-up like- Big Data/MLOps/Cloud Data warehouse/Data Lake/Spark/Streaming ecosystem
• Deep understanding & expertise with data pipelines, ingestion, storage, data wrangling, and data governance.
• Strong knowledge of Spark/Hive/Presto or ML lifecycle with MLOps.
• Superior project management skills to manage multi-engineer projects and experience in delivering high-quality projects on time
• 9 to 12 years of experience with technical depth as well as good people skills
• BE/BTech in Computer Science or some equivalent academic stance.