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Data Engineer

2 months ago

Austin, United States augmentjobs Full time
Job DescriptionJob Description

Overview: We are seeking a skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure. You will collaborate closely with data scientists, analysts, and software engineers to ensure efficient data flow and support data-driven initiatives. This role requires expertise in data architecture, ETL (Extract, Transform, Load) processes, database management, and proficiency in programming and scripting languages.

Roles and Responsibilities:

  1. Data Pipeline Development:

    • Design and implement scalable and robust data pipelines to ingest, process, and store structured and unstructured data from multiple sources.
    • Develop ETL processes to transform raw data into formats suitable for analysis and reporting.

  2. Database Management:

    • Design, optimize, and maintain databases (SQL and NoSQL) to support data storage and retrieval needs.
    • Ensure data quality, integrity, and security in database systems, implementing best practices for data governance.

  3. Data Integration and Architecture:

    • Integrate data from various sources and third-party APIs into centralized data repositories.
    • Define and implement data architecture and modeling standards to support analytics and business intelligence (BI) needs.

  4. Performance Optimization:

    • Monitor and optimize data pipelines and database performance for efficiency and scalability.
    • Troubleshoot data-related issues and implement solutions to improve data processing and access speeds.

  5. Collaboration and Documentation:

    • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data-driven solutions.
    • Document data flows, processes, and architecture designs, ensuring clear and comprehensive documentation.

Skills and Qualifications:

  • Proven experience as a Data Engineer, Database Developer, or similar role, with a strong background in data pipeline development and database management.
  • Proficiency in programming languages for data manipulation and scripting (e.g., Python, SQL, Java, Scala).
  • Experience with data warehousing solutions (e.g., AWS Redshift, Google BigQuery) and big data technologies (e.g., Hadoop, Spark).
  • Strong understanding of ETL processes, data modeling, and schema design principles.
  • Excellent problem-solving skills and ability to work independently and as part of a team.

Education and Experience:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. A Master's degree is a plus.
  • Hands-on experience with data engineering tools and platforms (e.g., Apache Airflow, Talend, Informatica).
  • Experience with cloud platforms and services (e.g., AWS, Azure, GCP) for data storage and processing.

Compensation:

  • The compensation package includes a competitive base salary commensurate with experience and qualifications.
  • Additional benefits such as performance bonuses, stock options, and healthcare coverage will be provided.
  • The exact compensation will be determined based on the candidate's expertise and alignment with the company's strategic goals.

Company Culture:

Our company fosters a culture of innovation, collaboration, and continuous learning. We value diversity and inclusivity and provide opportunities for professional growth and career development in the rapidly evolving field of data engineering. The Data Engineer will have the opportunity to work on impactful projects, contribute to data-driven decision-making processes, and collaborate with a team of talented professionals.

Application Process:

Interested candidates are encouraged to submit a resume and cover letter outlining their qualifications and interest in the Data Engineer position. We welcome applicants who are passionate about data engineering, have a strong technical background, and are eager to contribute to building robust data infrastructure and pipelines.

This job description outlines the key responsibilities, required skills, and compensation details for the Data Engineer position, aiming to attract qualified candidates who can design, develop, and maintain scalable data pipelines and infrastructure, collaborate effectively with cross-functional teams, and contribute to the advancement of data-driven initiatives within a dynamic and innovative company environment.