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Data Engineer

3 months ago

Austin, United States augmentjobs Full time
Job DescriptionJob Description

Job Title: Data Engineer

Job Summary: We are seeking a skilled Data Engineer to join our team. The ideal candidate will design, develop, and maintain data pipelines and infrastructure to support data analysis and decision-making. They will work closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and efficiency.

Responsibilities:

  • Design, build, and maintain scalable data pipelines and ETL processes to handle large volumes of data.
  • Develop and manage data models, schemas, and data integration strategies to support business needs.
  • Optimize and tune data storage and retrieval processes for performance and efficiency.
  • Collaborate with data scientists and analysts to understand data requirements and provide access to relevant datasets.
  • Ensure data quality, integrity, and security through data validation and cleansing processes.
  • Monitor and troubleshoot data pipeline performance and resolve data-related issues.
  • Implement and maintain data warehousing solutions and data lakes.
  • Stay updated with industry trends and best practices in data engineering and emerging technologies.

Qualifications:

  • Proven experience as a Data Engineer or in a similar data-focused role.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Experience with data processing frameworks and tools (e.g., Apache Hadoop, Apache Spark).
  • Knowledge of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).
  • Familiarity with cloud data platforms and services (e.g., AWS Redshift, Google BigQuery, Azure Data Lake).
  • Understanding of data modeling, data warehousing, and ETL concepts.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities for working with cross-functional teams.
  • A degree in Computer Science, Engineering, Data Science, or a related field is preferred. Relevant certifications (e.g., Google Professional Data Engineer, AWS Certified Data Analytics) are a plus.