Data Systems Architect

4 days ago

Erode, Tamil Nadu, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000
Job Summary

This is a highly specialized role that focuses on the development and enhancement of data-heavy modules across ad serving, analytics, and reporting systems.

The ideal candidate will have a strong foundation in SQL and databases, coupled with working experience on big data systems. They will be responsible for designing, optimizing, and maintaining scalable data pipelines using a mix of SQL , NoSQL and Big Data tools.

Key Responsibilities:

  • Lead the development and enhancement of 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.

What You'll Gain

  • 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.
  • Be part of a high-calibre team with ownership and autonomy from day one.
  • A tech-first culture that encourages learning, experimentation, and innovation.

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