Senior Data Engineering Leader
2 weeks ago
As a data engineering leader, you'll be responsible for delivering end-to-end solutions that power core business use cases across real-time bidding, reporting, and analytics. You will lead a small team of engineers and work closely with data science, analytics, and platform engineering teams.
The role requires a strong foundation in SQL and databases, coupled with working experience on big data systems. This is a hands-on leadership role for someone who enjoys solving high-scale data challenges while mentoring others and driving execution.
Key Responsibilities:
- Develop and enhance 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.
- Evaluate data reliability, 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.
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.
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