Data Engineer

Penny The Recruiter

What you will be doing:Â

Collaborate with analysts, developers, architects, and business stakeholders to understand data needs and deliver technical solutions.
Design, build, and maintain data pipelines and integrations using AWS services such as S3, Glue, Lambda, and Redshift.
Develop and manage data lakes and data warehouses on AWS.
Support and maintain production and non-production data environments.
Optimize data storage and query performance through schema design and efficient data processing.
Implement CI/CD practices for data infrastructure, including monitoring, logging, and alerting.
Ensure data quality, security, and governance across all stages of the data lifecycle.
Document data models, pipelines, and architecture for internal use and knowledge sharing.
Stay current with AWS data services and best practices.
Contribute to a culture of continuous improvement and knowledge sharing within the team

Â What we are looking for:

Completed Bachelorâs degree in Computer Science, Engineering, or a related field (or equivalent experience).
5 - 7 years of experience in data engineering.
3 years of hands-on experience with AWS, including:
S3, Glue, Spark, Athena, Redshift, RDS, Lambda, Lake Formation
Strong SQL skills and experience with relational databases (e.g., PostgreSQL, Oracle, RDS).
Proficiency in Python or Scala for data processing.
Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Understanding of data governance, security, and compliance in cloud environments.

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.

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