Data Engineer

Our client is a famous rewards marketplace that offers users encouragement for signing up for various products and services. They specialize in creating mutual value for advertisers through innovative advertising solutions.

As a Data Engineer, you'll be responsible for developing and managing our strong data infrastructure, improving ETL workflows, and ensuring data is accurate and accessible across different platforms. We are seeking a skilled data specialist with practical experience and a solid background in data engineering, data governance, and cloud platform expertise.


Requirements:

  • 5+ years of experience as a Data Engineer or Data Architector in large-scale enterprise environments.
  • Extensive experience with MySQL, Redis, and Snowflake with a demonstrated ability to optimize SQL queries, build scalable data pipelines, and develop dimensional and relational database models.
  • Strong skills in Python for scripting and data transformation tasks.
  • Knowledge of database security protocols and developing data governance frameworks and security policies.
  • Experience in data lineage and compliance monitoring.
  • Proficient in tools such as SSIS, Bash, SQL, and Kafka.
  • Familiarity with the AWS cloud platform and DevOps practices, including tools like Rundeck and Oozie.
  • Proficiency in using tools Enterprise Architect and Visio.
  • Practical experience with BI tools like Looker and Sigma for developing user-friendly analytics.
  • Highly skilled in creating and improving SQL queries for better performance.
  • Experience in reviewing slow query logs and improving query performance.
  • Strong analytical and problem-solving abilities
  • Excellent communication and collaboration skills.
  • Attention to detail and ability to work independently.
  • Good oral and written English is a must.

Nice to have:

  • Experience with AWS services (S3, Redshift, and Glue).
  • Expertise in CI/CD pipelines, version control (GitHub).
  • Proven experience of mentoring and guiding engineering and analytics teams, managing accurate metadata, and ensuring adherence to data governance policies.

Responsibilities:

  • Manage and maintain the performance, accessibility, and security of MySQL and Redis databases to ensure optimal operation and reliability.
  • Review slow query logs, develop migrations to enhance queries, and implement indexes as needed for optimization.
  • Help integrate and manage Snowflake for the data warehouse operations.
  • Quickly identify and fix database problems.
  • Create and update documentation for database procedures and setups.
  • Work together with the development team to create and enhance database structures for optimal performance.
  • Design and manage ETL pipelines to streamline data workflows.
  • Implement data governance frameworks to ensure secure and compliant data processing.
  • Monitor data lineage to ensure data integrity and compliance.
  • Work with cloud platforms (AWS) and automation tools such as Rundeck and Oozie to manage and optimize data operations.

We offer:

  • Remote work in an international company in the USA.
  • Flexible paid time off (PTO).
  • Competitive salary in the USD.
  • Flexible working hours to help you manage your work/life balance.
  • Support for on-site and remote.
  • Career and professional growth.
  • Warm and friendly attitude to every specialist.

At Ameware Group, we are committed to fostering a diverse and inclusive workplace where everyone is valued and has equal opportunity to thrive. We encourage applicants from all backgrounds, religions, experiences, and perspectives to apply, as we believe diversity drives innovation and success.