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 stable 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 good 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 efficient 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 (IST)
Location: Mumbai (Hybrid - 3 days onsite) Key responsibilities
Design, build, monitor, and support large scale data processing
pipelines. Support, mentor, and pair with other members of the team
to advance our team’s capabilities and capacity. Help Blis explore
and exploit new data streams to innovative and support commercial
and technical growth Work closely with Product and be comfortable
with taking, making and delivering against fast paced decisions to
delight our customers. This ideal candidate will be comfortable
with fast feature delivery with a robust engineered follow up.
Skills and requirements 8+ years direct experience delivering
robust performant data pipelines within the constraints of direct
SLA’s and commercial financial footprints. Proven experience in
architecting, developing,



and maintaining Apache Druid and Imply
platforms, with a focus on DevOps practices and large-scale system
re-architecture Mastery of building Pipelines in GCP maximising the
use of native and native supporting technologies e.g. Apache
Airflow Mastery of Python for data and computational tasks with
fluency in data cleansing, validation and composition techniques.
Hands-on implementation and architectural familiarity with all
forms of data sourcing i.e streaming data, relational and
non-relational databases, and distributed processing technologies
(e.g. Spark) Fluency with all appropriate python libraries typical
of data science e.g. pandas, scikit-learn, scipy, numpy, MLlib
and/or other machine learning and statistical libraries Advanced
knowledge of cloud based services specifically GCP Excellent
working understanding of server-side Linux Qualified in managing
and updating on tasks ensuring appropriate levels of documentation,
testing and assurance around their solutions. Desired Experience
optimizing both code and config in Spark, Hive, or similar tools
Practical experience working with relational databases, including
advanced operations such as partitioning and indexing Knowledge and
experience with tools like AWS Athena or Google BigQuery to solve
data-centric problems Understanding and ability to innovate, apply,
and optimize complex algorithms and statistical techniques to large
data structures Experience with Python Notebooks, such as Jupyter,
Zeppelin, or Google Datalab to analyze, prototype, and visualize
data and algorithmic output About us Blis is an audience-first
platform that doesn't rely on personal data. We’re an integrated
planning and buying platform that delivers scaled, relevant, and
high-performing audiences, helping the world’s largest brands and
media agencies achieve their goals. Over the past 19 years, Blis
has built its reputation on delivering award-winning
location-powered advertising solutions. In today’s consumer-centric
landscape, Blis is transforming the role of location data by
combining it with a broad range of rich and powerful datasets to
give our clients the deepest audience understanding available. Our
unique approach to integrated planning and buying provides
personalised targeting and performance without reliance on personal
data. We serve relevant ads to the highest-value addressable




audiences across any channel and deliver our clients’ campaign
outcomes every time, from brand awareness and engagement through to
store/site visits and sales. Established in the UK in 2004, Blis
now operates in more than 40 offices across five continents.
Working with the world’s largest and most customer-driven companies
across allverticals, including Unilever, Samsung, McDonald's, HSBC,
Mercedes Benz and Peugeot, as well as every major media agency. At
Blis our vision is to be the undisputed leader in location-powered
advertising and analytics. We believe that values create behaviours
and behaviours create a culture. Our company values are a huge part
of our DNA. We are fully committed to creating a powerful culture
of inclusivity and belonging that embraces diversity, encourages
people to bring their authentic selves to work, educates everyone
at Blis about matters of equality, and engages with the wider
industry community to drive social change. As an equal opportunity
employer, we treat all our employees and job applicants fairly and
equally. We oppose all forms of unlawful and unfair discrimination
and take all reasonable steps to create a work environment in which
all employees are treated with respect and dignity. We don't
condone or tolerate any form of harassment, by employees or by
others who do business with us. Our values: We're leaders, not
followers An innovation and growth mindset helps us solve everyday
challenges and achieve breakthroughs. Our passion drives us to
innovate. We don’t see barriers, just possibilities. We take
ownership and hold ourselves accountable for outcomes, good and bad
and we don’t pass the buck. We're client-obsessed We do what we say
and build trusted relationships with our partners for the long
term. We act with integrity. We put our clients at the center of
our business. We obsess over the best insights, ideas and solutions
to deliver WOW and work with honesty and accountability to get it
done. We're one team We are empathetic and embrace diversity.
Everyone has a voice and can bring their authentic self to work. We
care about and support each other – with humility and good humor.
Mutual respect and wellbeing are key. We strive to eliminate bias
and be open and transparent. We're action oriented Speed matters in
business, so we're solution-driven and action-oriented. We value
simplification and calculated risk taking. We are lean, agile and
resourceful self-starters. We collaborate and break silos, working
thoughtfully and with urgency to solve problems, while learning
from mistakes and celebrating wins. If this looks like the perfect
fit for you or if you just want to have a conversation, please
apply, and we will get back to you as quickly as
possible!

📌 Senior Data Engineer (Maharashtra)
🏢 Blis
📍 Maharashtra