Imply Specialist Data Engineer
Imply Specialist, Data Engineer
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 work with iconic brands such as McDonald's, Samsung, and Mercedes Benz, delivering precise audience insights and helping them reach their ideal customers. At the core of our operations is a commitment to ethical data use and ensuring privacy rights. With offices across four continents and over 300 team members, we are a truly international company with a global culture.
We’re headquartered in the UK, financially successful, and looking forward to continued growth. Join us on this exciting journey!
We are looking for solid and experienced Data Engineers to work on building secure, automated, and 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 nearly every major discipline of data science, including classification, clustering, optimization, and data mining.
This role will focus on designing and delivering high-performance data pipelines and ensuring efficient cloud compute usage. You'll be part of a growing team, playing a crucial role in reaching the next 10x level of scale and intelligence. Our employees are passionate about teamwork and technology, and we seek someone who wants to make a meaningful impact in a thriving company.
Shift : 12 pm - 8 pm (IST)
Key responsibilities
- Design, build, and optimize high-scale data processing pipelines to
ensure outstanding performance, reliability, and cost efficiency
across our systems. - Drive improvements in data architecture, leveraging advanced
strategies to enhance query efficiency, optimize resource utilization,
and deliver fast, accurate insights for our stakeholders. - Implement and refine indexing and data ingestion methods to make our
data processes more robust and responsive to the needs of the
business. - Collaborate closely with product and engineering teams, ensuring our
data infrastructure continually evolves to support new initiatives and
deliver a seamless user experience. - Mentor and support team members, fostering a collaborative environment
that encourages knowledge sharing, innovation, and professional
growth. - Explore and implement innovative solutions, using modern technologies
to unlock the full potential of our data assets and support our
company's growth.
Skills and experience
-
5+ years of hands-on experience with large-scale data systems,
focusing on designing and maintaining efficient data pipelines. - In-depth knowledge of Apache Druid and Imply platforms, including
query optimization and DevOps practices. - Proven experience with cloud-based services, especially GCP, and
strong proficiency in Python for building and optimizing data flows. - Mastery of data governance and quality assurance practices, ensuring
reliable and efficient data pipelines aligned with business and
financial constraints. - Advanced knowledge of server-side Linux operations and a pragmatic
approach to managing cloud computing resources to avoid cost overages. - Familiarity with event-driven architectures and tools like Apache
Airflow for orchestrating complex data workflows.
Desired
- Proficient in Spark and other distributed processing frameworks, with
experience tuning performance and optimizing resource usage. - Experience with non-interactive reporting solutions like Google
BigQuery to handle large, complex queries and reduce interactive load. - Knowledge of partitioning, indexing, and data lake optimization
techniques to ensure minimal latency and maximum throughput. - Practical experience working with relational databases, including
advanced operations such as partitioning and indexing. - Understanding and ability to apply and optimize complex algorithms and statistical techniques to large data structures.
- Experience with Python Notebooks (Jupyter, Zeppelin, or Google
Datalab) for analyzing, prototyping, and visualizing data.
Why Join Us?
-
High-Impact Work: Tackle real-world challenges in a high-scale,
data-intensive environment, making a tangible difference. - Collaborative Team: Work alongside brilliant engineers who value
mentorship, brainstorming, and cross-functional collaboration. - Innovative Culture: Be part of a company that prioritizes innovation,
agility, and client obsession while maintaining a people-first ethos. - Global Reach: Engage with a diverse, international team and contribute
to campaigns for world-renowned brands.
About us
Blis is the geo-powered advertising tech stack. We’ve built a radically different omnichannel advertising solution structured on geography, not identity. Audience Explorer is our powerful audience planning platform delivering actionable intelligence & insight to advertisers.
With Blis, advertisers can plan unified audiences with data from premium partners, connected by geo. Buy audiences using smart cookie less technology that can double performance and halve costs. Measure the audience, not just the channel, with patent-pending omnichannel measurement technology.
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 successful companies, as well as every major media agency.
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
Brave
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.
Love our clients
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 centre 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.
Inclusive
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
humour. Mutual respect and wellbeing are key. We strive
to eliminate bias and be open and transparent.
Solutions driven
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.
- Department
- Engineering
- Locations
- Mumbai
- Remote status
- Hybrid Remote
Imply Specialist Data Engineer
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