TalentAQ

TalentAQ

Data Engineer

DataFull Time

Job Description

<p>We are seeking a skilled Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and infrastructure to support our data analysis and machine learning efforts. This role requires a strong understanding of data warehousing concepts and the ability to work with large datasets.</p><ul><h3>Key Responsibilities:</h3><li>Design and implement data pipelines for data ingestion and processing.</li><li>Build and maintain data warehouses and data lakes.</li><li>Optimize data infrastructure for performance and scalability.</li><li>Collaborate with data scientists and analysts to support their data needs.</li></ul><ul><h3>Required Skills:</h3><li>Proficiency in data warehousing technologies such as Hadoop, Spark, or Snowflake.</li><li>Experience with ETL tools and data integration techniques.</li><li>Strong programming skills in languages such as Python or Java.</li><li>Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).</li></ul>

We are seeking a skilled Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and infrastructure to support our data analysis and machine learning efforts. This role requires a strong understanding of data warehousing concepts and the ability to work with large datasets.

    Key Responsibilities:

  • Design and implement data pipelines for data ingestion and processing.
  • Build and maintain data warehouses and data lakes.
  • Optimize data infrastructure for performance and scalability.
  • Collaborate with data scientists and analysts to support their data needs.

    Required Skills:

  • Proficiency in data warehousing technologies such as Hadoop, Spark, or Snowflake.
  • Experience with ETL tools and data integration techniques.
  • Strong programming skills in languages such as Python or Java.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).

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