Senior Data Leader

2 weeks ago

Kozhikode, Kerala, India beBeeDataLeader Full time ₹ 25,00,000 - ₹ 30,00,000

About Media.net:

Media.net is a leading global ad tech company that creates a transparent and efficient path for advertiser budgets to become publisher revenue. Our proprietary contextual technology enhances Programmatic buying, the latest industry standard in ad buying for digital platforms.

The platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search. With office locations and consultant partners worldwide, Media.net offers value-added products and services to its 50+ demand and 21K+ publisher partners.

Role Overview

You'll own end-to-end delivery of data modules and platforms powering core business use cases across real-time bidding, reporting, and analytics. You'll lead a small team of engineers and work closely with data science, analytics, and platform engineering teams.

You need 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.
  • 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.

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