Lead Data Engineer
Bengaluru, Karnataka, India
Skan
Skan's process intelligence platform helps organizations improve the way they operate by providing insights into people, processes, and technology.Skan's Lead Data Engineer position is a pivotal player-coach role that begins as a 60% IC / 40% team lead role and may evolve into an engineering management role as we grow.
The data science and analytics team is a tight-knit group of nearly half a dozen analysts and engineers that support building analytic capabilities, client engagements and troubleshooting of process intelligence aspects. This role will work with the Head of Data Science and Analytics and other stakeholders to formulate Skan’s data strategy and work with the data engineers to implement the appropriate architecture and execute on the strategy. This entails building systems for all parts of the data lifecycle: collection, storage, accessibility, insights, and business action.
We’re looking for someone who has ideally built enterprise level software at leading technology/services companies before. We’re also hoping you’ve managed or led a team in a coaching capacity before. It is expected that you have experience with several different programming languages and understand using the right tools for the given job. A person with hands-on experience in building process mining solutions and analysing process event logs is a desired plus. This role reports to the Head of Data Science and Analytics.
Requirements
Experience 12+ yrs.
Qualifications B. Tech / M. Tech / MS
Responsibilities
- Drive and manage the data science engineering team to deliver on the sprints and product features
- Writing code. This is a senior engineer role.
- Provide directions of our data engineering and architecture. Collaborate on the requirements and strategize the right tools/architecture etc. for what gets built.
- Create and maintain data and analytics pipelines that generates data and insights to power business decision making
- Bootstrapping a data engineering team at an early stage in the team’s evolution Taking self-ownership in challenging UI development work
Must-Have Skills
- 15+ years as a software engineer building enterprise level software and experience in leading a team of software engineers
- Extensive knowledge in Python
- Knowledge of BI concepts (i.e. ETL, data modeling, data warehouse design, dashboarding)
- Knowledge of NoSQL database e.g., Mongodb
Nice to Have Skills
- Knowledge of distributed computing/MapReduce is a bonus
- Experience in process mining concepts and tools like ProM, Celonis, Signavio, Minit etc. is a strong plus
- Familiarity with MVC web development concepts and have a breadth of development experience
- Productionize Code
- Technical paper publications, conference speaking engagement
Tags: Architecture Data strategy Data warehouse Engineering ETL MongoDB NoSQL Pipelines Python
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