
Senior Data Engineer Leader
2 weeks ago
We're seeking an experienced Data Applications Lead to own the end-to-end delivery of data modules and platforms that power core business use cases across real-time bidding, reporting, and analytics.
This is a hands-on leadership role for someone who enjoys solving high-scale data challenges while mentoring others and driving execution.
- Key Responsibilities:
- 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.
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.
About this Role:
This Data Applications Lead will be responsible for designing and implementing efficient data pipelines, ensuring data reliability and accessibility, and collaborating with cross-functional teams to drive business outcomes.
What We Offer:
A challenging and rewarding role with opportunities for growth and development, a collaborative and dynamic work environment, and a competitive compensation package.
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