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Sr./Mid Data Engineer - OPT/H1B


Job Id : 9016

Jobtitle : Sr./Mid Data Engineer - OPT/H1B

Location : Wilmington, DE

Company Name : CanopyOne Solutions, Inc.

Industry : Information Technology

Salary : $4,400 - $126,000  YEAR

Job type : Fulltime

Posted on: 2019-12-18


Required Skills : Big Data, SQL, Apache, C++, Data Scientist, Hadoop, JAVA

Benefits : No benefits are available


Job Description :

Working Experience Software/Tools;

  • Experience with big data tools: Hadoop, Apache Spark, Kafka, etc.
  • Experience with relational SQL, Snowflake and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: NiFi, Kylo, Luigi, Airflow, Azkaban etc.
  • Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift ? Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, PySpark, Scala, etc.

Responsibilities:

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

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