Advanced Data Systems Specialist

7 days ago

Coimbatore, Tamil Nadu, India beBeeDataEngineer Full time US$ 1,20,000 - US$ 2,00,000

Job Title: Data Engineer II

Job Description:

  • We create transparent and efficient digital advertising solutions.
  • Our contextual technology enhances programmatic buying, a leading industry standard.

We empower major global publishers and businesses with scalable digital advertising solutions across various formats.

The team designs, executes, and manages complex distributed data systems using cutting-edge Machine Learning and AI technologies on large Hadoop clusters.

Tech Stack – Java, Elastic Search/Solr, Kafka, Spark, Machine Learning, NLP, Deep Learning, Redis, Big Data technologies like Hadoop, HBase, YARN etc.

Responsibilities:

  • Design, execution and management of large and complex distributed data systems.
  • Monitoring performance and optimizing existing projects.
  • Researching and integrating Big Data tools and frameworks to provide requested capabilities.
  • Understanding business requirements and implementing scalable solutions.
  • Creating reusable components and data tools for seamless integration with our data platform.

Requirements:

  • 2-4 years experience in big data technologies (Apache Hadoop) and relational databases.
  • Proficiency in at least one of the following programming languages - Java, Python or Scala.
  • Expertise in SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).
  • Proficiency in Apache Spark. Hands-on knowledge of working with Data Frames, Data Sets, RDDs, Spark SQL/PySpark/Scala APIs with deep understanding of Performance Optimizations.
  • Good Understanding of Distributed Storage (HDFS/S3).
  • Strong analytical/quantitative skills and comfortable working with very large sets of data.
  • Experience with integration of data across multiple data sources.
  • Good understanding of distributed computing principles.

Preferred Skills:

  • Experience with Message Queues (e.g., Apache Kafka).
  • Experience with MPP systems (e.g., Redshift/Snowflake).
  • Experience with NoSQL storage (e.g., MongoDB).

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