Senior Data Engineer

Designation : Senior Data Engineer

Job Location : Bangalore

About Digit Insurance :

Digit’s mission is to ‘Make Insurance, Simple’. We are backed by Fairfax- one of the largest global investment firms. We have also been ranked as 'LinkedIn top 5 startup of 2018’ and 2019 and are the fastest growing insurance company.

We have also been certified as a Great Place to Work! Digit has entered the Unicorn club with a valuation of $1.9 billion and while most companies take about a decade to get here, we have achieved this in just 3 years. And we truly believe that this has happened as a result of the mission of the company i.e. to make insurance simple along with the sheer hard work & endeavors of our employees.

We are re-imagining products and redesigning processes to provide simple and transparent insurance solutions, that matter to consumers. We are building a technology-driven platform that can offer customized products at reduced cost and provide a great customer service.

We are also the only cloud based Insure-tech company, with a very focused approach towards in house development. We are using new age Technologies like Java Microservices, Full Stack, Angular 6, Python, React Native, DB2, Machine Learning, Data Science, cloud native architecture in AWS, Azure. We are headquartered in Bangalore, Pune, Trivandrum and across India.

The team is a great mix of Industry veterans who know what’s working and new age technology specialists who know what could be improved.

What are we looking for ?

We are looking for candidates to join us as a part of our Data Science team as Data Engineer.

Total Experience range?

6 to 9 years of experience in SQL, Python scripting any cloud technologies.

Skill Set :

• Strong proficient in coding specially in Python or any other scripting language.
• Working knowledge on Linux OS or shell scripting
• Hands on experience in SQL, Flask, APIs, Django
• Working knowledge on any cloud technologies – Azure, AWS
• Exposure to Data-Lake concepts.

Roles and Responsibilities :

requirement, designing solution, implementing, testing and maintenance.