Sr. Data Engineer

Lifesight Is empowering decisions with Advanced Data Intelligence

Lifesight is a fast-growing SaaS company focused on helping businesses leverage data

AI to improve customer acquisition and retention. We have a team of 130 serving

300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK.

Our mission is to make it easy for non-technical marketers to leverage advanced data

activation and marketing measurement tools that are powered by AI, to improve their

performance and achieve their KPIs. Our product is being adopted rapidly globally and

we need the best people onboard the team to accelerate our growth.

Dealing with Petabytes of data and more than 400TB+ daily data processing to power

attribution and measurement platforms of Lifesight, building scalable, highly available,

fault-tolerant, big data platforms is critical for our success.

From your first day at Lifesight, you'll make a valuable - and valued - contribution. We

offer you the opportunity to delight customers around the world while gaining meaningful

experience across a variety of disciplines.

About The Role

Lifesight is growing rapidly and seeking a strong Data Engineer to be a key member of

the Data and Business Intelligence organization with a focus on deep data engineering

projects. You will be joining as one of the few initial data engineers as part of the data

platform team in our Bengaluru office. You will have an opportunity to help define our

technical strategy and data engineering team culture in India.

You will design and build data platforms and services while managing our data

infrastructure in cloud environments that fuels strategic business decisions across

Lifesight products.

A successful candidate will be a self-starter, who drives excellence, is ready to jump into

a variety of big data technologies & frameworks, and is able to coordinate and

collaborate with other engineers, as well as mentor other engineers in the tea

What You’ll Be Doing

• Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 100s of terabytes of data ingested every day and petabyte-sized data warehouse and elasticsearch cluster.
• Build quality data solutions and refine existing diverse datasets to simplified models encouraging self-service
• Build data pipelines that optimize on data quality and are resilient to poor quality data sources
• Own the data mapping, business logic, transformations and data quality
• Low level systems debugging, performance measurement & optimization on large production clusters
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
• Maintain and support existing platforms and evolve to newer technology stacks and architectures

We’re excited if you have