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AWS - DB Hands-on Architect

COEUS LOGIX LLCIrving, TX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationIrving, TX, United States
Apache SparkAWSETLAirflowApachePythonPostgreSQL

Job description

AWS - DB Hands-on Architect

This role requires a blend of hands-on technical skills and strategic thinking to ensure our database systems are robust, scalable, and efficient.

Responsibilities

  • Design and develop database tables, ensuring they are optimized for performance and scalability.
  • Implement and manage data orchestration processes using tools such as Apache Airflow and AWS Step Functions.
  • Develop and maintain stored procedures to enhance database functionality and efficiency.
  • Perform database archival processes to manage data lifecycle effectively.
  • Utilize AWS services such as Amazon S3, Glue ETL, and PostgreSQL to build and manage data pipelines.
  • Work with large volumes of data, including billions of rows, to ensure data integrity and performance.
  • Implement Extract, Transform, Load (ETL) processes using Apache Spark and Python.
  • Create and manage dashboards and reports to provide insights into database performance and data quality.
  • Collaborate with cross-functional teams to ensure database solutions align with business objectives.

Requirements

<>Required Skills
  • Proficiency in Amazon S3 for data storage and management.
  • Experience with AWS Glue ETL for data processing and transformation.
  • Strong programming skills in Python, with a focus on database operations.
  • Experience with Apache Spark for large-scale data processing.
  • Knowledge of Apache Airflow and AWS Step Functions for data orchestration.
  • Expertise in PostgreSQL database design, development, and management.
  • Familiarity with Iceberg for data lake management.
  • Ability to create and manage dashboards and reports for data insights.
  • Experience working with large databases and handling large volumes of data.
<>Preferred Skills
  • Experience with DB archival processes.
  • Knowledge of stored procedures and their implementation.
  • Familiarity with data orchestration tools and practices.
  • Strong analytical skills to manage and optimize database performance.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.

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