Come work on fantastically high-scale systems with us
Blis is an award-winning, global leader and technology innovator in
big data analytics and advertising. We help brands such as
McDonald's, Samsung, and Mercedes Benz to understand and
effectively reach their best audiences. We are looking for solid
and experienced Data Engineers to work on building out secure,
automated, scalable pipelines on GCP. We receive over 350gb of data
an hour and respond to 400,000 decision requests each second, with
petabytes of analytical data to work with. We tackle challenges
across almost every major discipline of data science, including
classification, clustering, optimisation, and data mining. You will
be responsible for building secure production level pipelines
maximising the efficiency of cloud compute to ensure that data is
properly enabled for operational and scientific cause. This is a
growing team with big responsibilities and exciting challenges
ahead of it, as we look to reach the next 10x level of scale and
intelligence. At Blis, Data Engineers are a combination of software
engineers,



cloud engineers, and data processing engineers. They
actively design and build production pipeline code, typically in
Python, whilst having practical experience in ensuring, policing,
and measuring for positive data governance, quality, and efficient
consumption. To run an efficient landscape we are ideally looking
for candidates that are comfortable with event- driven automation
across also aspects of our operational pipelines. As a Blis data
engineer, we seek to understand the data and problem definition and
find productive solutions, so critical thinking is a key component
to efficient pipelines and effective reuse, this must include
defining the pipelines for the correct controls and recovery points
not only function and scale. The team are almost always adherents
of Lean Development and work well in environments with significant
amounts of freedom and ambitious goals. Shift: 12 pm - 8 pm (I

📌 Senior Data Engineer (Nagpur)
🏢 Blis
📍 Nagpur