Highly Skilled Data Architect

16 hours ago

Rajahmundry, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 50,00,000 - ₹ 1,00,00,000
Job Title

Data Engineer II

Location: Bangalore/Mumbai

About Us :

We are a global ad tech company that focuses on creating transparent and efficient paths 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 Media.net platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search.

Our U.S. HQ is based in New York, and the Global HQ is in Dubai.

With offices and consultant partners across the world, we take pride in the value-add we offer to our demand and publisher partners, in terms of products and services.

Team Description


• Every single web page view hits one or more services and hosts high scale service to handle this large volume of requests, across 5 million unique topics.


• Some of the platforms built and managed by us.


• To achieve this we use cutting edge Machine Learning and AI technologies on a large Hadoop cluster.


• 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 a large and complex distributed data systems.
  • Monitoring of performance and optimizing existing projects.
  • Researching on and integrating any Big Data tools and frameworks required to provide requested capabilities.
  • Understanding Business/Data requirements and implementing scalable solutions.
  • Creating reusable components and data tools which help all the teams in the company to integrate with our data platform.
Requirements
  • 2 to 4 years of experience in big data technologies (Apache Hadoop) and relational databases (ms sql server/oracle/MySQL/postgres).
  • 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 Requirements
  • 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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