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Big Data ETL Developer

Big Data ETL Developer

Infotech SolutionsNew York, NY, US
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About the Company

The firm is a recognized market innovator with the technology and tools that accurately authenticate the quality of digital media and drive ad performance for the world's largest brands. They provide media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance.

Position Overview

As a Big Data ETL Developer you will be designing and implementing systems that crunch and process billions of records a day and make them available in the company's analytics platform, helping our clients to make smarter decisions that continuously improve their ad-impression quality.

You will develop ETL processes on both home-grown and 3rd party frameworks.

Responsibilities

  • Developing ETL processes that process billions of records a day efficiently
  • Delivering insightful data to clients, partners and internal users in various ways by implementing robust, scalable data delivery applications and APIs.
  • Collaborating and participating in project meetings.
  • Analyzing data to test the correctness and effectiveness of ETL processes.

Position Requirements

  • At least 3 years hands-on development experience of ETLs
  • At least 2 years working in a DWH environment – schema design is an advantage
  • Hands-on development experience in python
  • Experience in one or more of the following technologies : Hadoop, Spark, Kafka, Parquet, Hive, Pig.
  • Advanced SQL query writing abilities and data understanding
  • Excellent communication skills and a team player
  • Experience with GoodData CloudConnect is a plus
  • Experience with Vertica or other columnar data stores is a plus
  • Hands on experience with Spark Streaming or other live stream processing technology – a plus
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