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Data Engineer

Key Facts

Remote From: 
Category:  Data Engineer
Full time
Mid-level (2-5 years)
English

Other Skills

  • Analytical Skills
  • Critical Thinking
  • Analytical Thinking
  • Virtual Collaboration

Roles & Responsibilities

  • 3+ years of experience in a data engineer or software development role
  • Graduate degree in Computer Science or a closely related discipline
  • Experience with big data tools: Spark, Kafka, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Kinesis, etc.

Requirements:

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Design and implement data application components
  • Develop and direct security procedures and safeguards to reduce the risk of outside breaches and protect sensitive information

Job description

This is a technical role for the Data Integration & Fulfillment team at Dynata. The successful candidate will be deeply involved in designing and delivering features, functionality on new and existing data applications as well as designing and implementing both batch and streaming data pipelines.

Responsibilities

  • Create and maintain optimal data pipeline architecture

  • Assemble large, complex data sets that meet functional / non-functional business requirements

  • Design and implement data application components

  • Work with data and analytics experts to strive for greater functionality in our data systems

  • Develop and direct security procedures and safeguards to reduce the risk of outside breaches and protect sensitive information

Skills and Attributes

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

  • Strong analytic skills related to working with unstructured datasets.

  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.

  • Experience supporting and working with cross-functional teams in a dynamic environment.

  • Demonstrated critical and analytical thinking

  • Ability to work with remote and distributed teams

Education and Experience

  • 3+ years of experience in a data engineer or software development role

  • Graduate degree in Computer Science or a closely related discipline.

  • Experience with big data tools: Spark, Kafka, etc.

  • Experience with relational SQL and NoSQL databases

  • Experience with AWS cloud services: EC2, EMR, RDS, Kinesis, etc.

  • Experience on one or more of the following languages: Python, Scala, GoLang

Dynata is the world’s largest first-party data and insights platform. With a reach that encompasses 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. Dynata serves nearly 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe, and Asia-Pacific. Learn more at www.dynata.com.

At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.

For administrative purposes your personal data will be kept on record and will be disclosed and transferred both within and outside the European Economic Area, including the United States of America. We shall take all reasonable steps to prevent any unauthorized access to your personal data. 

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