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  • Posted: Sep 11, 2024
    Deadline: Not specified
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    eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with services, expertise and products focused on making the business of healthcare delivery work for everyone, through technology-enabled optimizations. We believe that if health is a right, proven digit...
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    Data Engineer

    • As a Data Engineer specializing in data lakes, data warehouses, and ETL, you will be responsible for designing, implementing, and maintaining our data infrastructure.
    • You will work closely with data scientists, analysts, and other stakeholders to ensure seamless data flow, high-quality data, and accessibility for analytical and operational use cases.

    Key Responsibilities:

    • Design, build, and maintain scalable data lake and data warehouse architectures to store structured and unstructured data.
    • Develop and manage ETL (Extract, Transform, Load) processes to ingest data from various sources into the data lake and data warehouse.
    • Ensure data quality, data governance, and data security practices are implemented and maintained.
    • Collaborate with data scientists and analysts to understand data requirements and provide solutions for data access and analysis.
    • Optimize data storage and retrieval performance.
    • Monitor and troubleshoot data infrastructure issues, ensuring high availability and reliability.
    • Implement and maintain data catalog and metadata management tools.
    • Stay updated with the latest trends and technologies in data engineering, data lakes, and data warehouses.

    Qualifications:

    • Bachelor’s degree in Computer Science, Information Technology, or a related field.
    • 3+ years of experience in data engineering or a similar role.
    • Strong experience with data lake technologies such as AWS S3, Azure Data Lake, Google Cloud Storage, or similar.
    • Proficiency in ETL tools and processes (e.g., AWS Glue, Apache NiFi, Talend).
    • Experience with big data processing frameworks like Apache Spark or Hadoop.
    • Knowledge of data warehousing concepts and technologies (e.g., Amazon Redshift, Google BigQuery, Snowflake).
    • Experience with SQL and NoSQL databases.
    • Familiarity with data governance and data security best practices.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication and collaboration skills.

    Preferred Qualifications:

    • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
    • Experience with containerization and orchestration tools like Docker and Kubernetes.
    • Knowledge of data catalog and metadata management tools (e.g., AWS Glue Data Catalog, Apache Atlas).
    • Experience with data visualization tools and techniques.
    • Relevant certifications in data engineering or cloud platforms.

    Method of Application

    Interested and qualified? Go to eHealth4everyone on e4eapplication.paperform.co to apply

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