
Senior Data Engineer Leader
2 days ago
As a Data Applications Lead, you will be responsible for the end-to-end delivery of data modules and platforms 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 to design, optimize, and maintain scalable data pipelines using a mix of SQL, NoSQL, and Big Data tools.
Key responsibilities include:
- Leading the development and enhancement of data-heavy modules across ad serving, analytics, and reporting systems.
- Designing, optimizing, and maintaining scalable data pipelines using a mix of SQL, NoSQL, and Big Data tools.
- Working with streaming platforms like Apache Kafka and Flink for real-time data processing.
- Ensuring data reliability, low-latency access, and robustness across internal and external-facing systems.
- Collaborating with product managers, analysts, and other engineering teams to translate business needs into data solutions.
- Driving code reviews, mentoring junior engineers, and contributing to architectural discussions.
- 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.
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