AWS Data Engineer

Adastra

Adastra is expanding its AWS Practice and is looking for a skilled AWS Data Engineer. The role involves constructing and managing data pipelines and ensuring efficient data extraction, transformation, and loading within the AWS environment. Adastra, renowned for its expertise in data and analytic solutions, aims to enhance decision-making through a data-driven approach.

In this role you can expect to have the responsibilities:

• Design and maintain scalable ETL pipelines with AWS services such as Glue, Lambda, S3, and Redshift
• Optimize SQL queries for data transformation and reporting
• Use Python for automation and scripting within ETL processes
• Collaborate with Databricks for developing analytics solutions
• Ensure data security and compliance with industry standards
• Monitor data pipelines for continuous and reliable data flow
• Implement data lakes and warehouses for analytics support

This role comes with the following benefits:

• Opportunity for career progression
• Competitive compensation package
• Comprehensive benefits plan
• Successful referral program
• Flexible and diverse workplace

This role requires you to have:

• 3+ years experience in data engineering
• Strong proficiency with AWS services like S3, Glue, and Redshift
• Programming expertise in Python, Java, or Scala
• Experience with SQL and NoSQL databases
• Understanding of data warehousing and ETL processes
• Problem-solving skills and attention to detail

You would benefit from having:

• AWS Certified Data Engineer or Data Analytics certification
• Experience with big data tools like Apache Spark and Hadoop
• Knowledge of CI/CD tools like Jenkins or GitLab CI

Adastra is committed to equal employment opportunities, providing a diverse workplace free from discrimination. The company also assures against recruitment fraud, indicating that all authentic correspondence will come from specified company domains.