Cloud Data Infrastructure Engineer

3 days ago

Cambridge, Massachusetts, United States Eliassen Group Full time

About the Opportunity:

Eliassen Group is seeking a highly skilled Data Architect to join our team. As a Data Architect, you will be responsible for designing and implementing data models, developing and maintaining data pipelines, and ensuring the security and compliance of the data architecture.

The ideal candidate will have experience with semi-structured and unstructured data, analytics, open-source tools, ML/AI, and data visualization tools.

The estimated salary for this role is $90-$100 per hour, based on the location in Boston, MA. We offer a competitive benefits package, including medical, dental, vision, and life insurance, for W2 employees.

Responsibilities:

  • Design and implement data models that support business requirements.
  • Develop and maintain data pipelines in both on-premises and AWS cloud environments.
  • Ensure the security and compliance of the data architecture.
  • Stay up-to-date on the latest data technologies and best practices within the cloud/AWS ecosystems.
  • Work with a team of engineers and other architects to understand needs and provide solutions.
  • Manipulate unstructured data in a data analytics environment.
  • Utilize open-source tools such as PostgreSQL, cloud computing, machine learning, and data visualization.
  • Build and maintain an enterprise data model.
  • Implement data pipelines using ETL and ELT technologies such as Apache Kafka, Apache Nifi, Informatica, and AWS Glue.

Requirements:

  • 10+ years of total IT experience with a heavy focus on Data Architecture.
  • Must have a Bachelor's degree in computer science, information systems, or a related field/equivalent experience.
  • Familiarity with the manipulation of unstructured data in a data analytics environment.
  • Experience with open-source tools such as PostgresSQL/et cetera, cloud computing, machine learning, and data visualization.
  • Ability to use/code in languages applicable to the project or task order such as Spark, Scala, Java, Hadoop, and/or Python.
  • Experience in building and maintaining an enterprise data model.
  • Experience in implementing data pipelines using ETL and ELT technologies such as Apache Kafka and Apache Nifi, Informatica, and AWS Glue.
  • Proficiency in data architecture and management tools such as ER/Studio, Alation, Collibra, and DataHub.
  • Experience with data modeling, data warehousing, and data analytics such as Snowflake/other related tools.
  • Experience with cloud technologies and cloud computing platforms.
  • Experience with security and compliance.
  • Experience working in an Agile environment.

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