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Data Engineering Team Lead
2 weeks ago
About this role
As a Data Engineering Team Lead, you will be responsible for leading the development and enhancement of data-heavy modules across ad serving, analytics, and reporting systems.
You will 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.
Becoming part of our high-calibre team offers numerous benefits.
- Opportunity to 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.
- A tech-first culture that encourages learning, experimentation, and innovation.