Estaff - Austin, TX

posted 5 days ago

Full-time - Mid Level
Austin, TX
Administrative and Support Services

About the position

The Data Engineer will play a crucial role in designing, developing, and maintaining robust data architectures to support data science initiatives. This position focuses on ensuring data quality, reliability, and efficiency while enabling seamless integration with various tools and systems. The role is specifically for candidates residing in Texas and is a long-term assignment.

Responsibilities

  • Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems.
  • Recommend and implement strategies to enhance data reliability, efficiency, and quality.
  • Enable the integration of disparate data sets using various languages and tools to prepare data for correlation by data scientists.
  • Provide effective data architectures that meet the needs of data scientists, stakeholders, and business environments.
  • Facilitate integration capabilities for external tools to perform data ingestion, compilation, analytics, and visualization.

Requirements

  • 7+ years of experience in Data Engineering or a related technical field.
  • Expertise in SQL, Python, and Informatica ETL development.
  • Strong proficiency in data modeling techniques.
  • Ability to identify and implement the most suitable data management systems.
  • Expertise in ensuring data quality and cleanliness, even when working with disordered data sets.
  • Demonstrated proficiency in various technical tools and technologies, including Snowflake, Informatica, IICS, GitHub, Oracle, ETL development, and Python.
  • Bachelor's degree in statistics, mathematics, computer science, or engineering.

Nice-to-haves

  • Proficiency in scripting languages for managing data flows and pipelines.
  • Expertise in data query and validation techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to learn new technologies and tools quickly.
  • Attention to detail and commitment to quality.
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