
Senior Data Engineering Lead
1 week ago
Unlock the Power of Data Engineering
About Our Company: We are a leading provider of data engineering solutions, with a focus on creating scalable and efficient data pipelines. Our proprietary technology is at the forefront of enhancing programmatic buying, the latest industry standard in digital platforms.
The platform we power enables major global publishers and ad-tech businesses to operate at scale across various ad formats, including display, video, mobile, native, and search. With offices located around the world, we pride ourselves on the value-add we offer to our 50+ demand and 21K+ publisher partners, in terms of both products and services.
Job Overview
You will be responsible for owning end-to-end delivery of data modules and platforms that power core business use cases across real-time bidding, reporting, and analytics. As a leader, you will work closely with data science, analytics, and platform engineering teams to drive execution and mentor junior engineers.
What You'll Be Doing
- Lead the development and enhancement of data-heavy modules across ad serving, analytics, and reporting systems.
- Design, optimize, and maintain scalable data pipelines using a mix of SQL , NoSQL and Big Data tools.
- Work with streaming platforms like Apache Kafka and Flink for real-time data processing.
- Ensure data reliability, low-latency access, and robustness across internal and external-facing systems.
- Collaborate with product managers, analysts, and other engineering teams to translate business needs into data solutions.
- Drive code reviews, mentor junior engineers, and contribute to architectural discussions.
- Ensure best practices around data governance, schema evolution, and performance tuning.
Requirements
- 5–8 years of experience working in data engineering or backend roles with a strong data focus.
- Solid command over SQL and RDBMS concepts – query optimization, indexing, schema design.
- Hands-on experience with Big Data and NoSQL technologies – Hive, Spark, Presto, HDFS, Kafka, MongoDB, Cassandra, etc.
- Strong programming skills in Python, Java, or Scala.
- Experience with large-scale data processing, batch & stream pipelines, and performance tuning.
- Exposure to distributed systems or cloud-based data platforms (AWS, GCP, or Azure) is a plus.
- Ability to take ownership and drive outcomes while mentoring and growing a small team.
What's in it for you
- Work on internet-scale data systems – billions of rows processed on a regular basis.
- Solve high-impact problems at the intersection of advertising, machine learning, and data platforms.
- Be part of a high-calibre team with ownership and autonomy from day one.
- A tech-first culture that encourages learning, experimentation, and innovation.
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