Remote Data Engineer

Description:

• The Data Engineer position at GROW Inc involves working with languages and tools like Python, Spark, DBT, and Databricks.
• The role requires experience and knowledge of AWS services such as Redshift, Athena, Glue, S3, and EMR.
• Collaborating with team members to gather business requirements, define successful analytics outcomes, and design data models is a key responsibility.
• Providing clean and suitable data sets/views for data and reporting needs is essential.
• Applying statistical calculations and models against data sets in GROW’s Data Lake is part of the job.
• Continuous improvement activities on performance optimization of all data pipelines and data stores are expected, following engineering best practices.
• Offering input into the discovery and solution phase for Business/Client needs, assessing risks in exposing data, and aligning with GROW’s risk framework are also part of the role.

Requirements:

• Strong technical experience with Python, Spark, DBT, and Databricks.
• Experience and knowledge of AWS services like Redshift, Athena, Glue, S3, and EMR.
• Familiarity with CI/CD tools and practices.
• Ability to collaborate with team members to gather business requirements and design data models.
• Proficiency in providing clean data sets/views for reporting needs.
• Knowledge of statistical calculations and models against data sets.
• Experience in performance optimization of data pipelines and data stores.
• Understanding of risk assessment in exposing data and working within a risk framework.

Benefits:

• 10 'ME' days and 1 day of birthday leave each year in addition to annual leave.
• Health insurance coverage for the employee and 1 dependent.
• Government Contributions paid on top of the salary.
• Flexible remote working environment.
• Diverse, friendly, and transparent culture.
• Opportunities for on-the-job learning and training.