Artefact is seeking a Junior Data Engineer to join their rapidly expanding team, focusing on data consulting and digital marketing. The ideal candidate should have experience in data engineering, with proficiency in SQL, Python, and cloud technologies like Azure and AWS
Job Summary
Artefact is a rapidly growing data service provider specializing in transforming data into business impact through consulting and digital marketing.
The role involves designing robust data pipelines using technologies like Databricks, Snowflake, and Azure Data Factory while leading integration efforts.
Candidates will work within a dynamic team focused on lean AI agile methodologies to deliver tangible results for over 300 global clients.
Matching Summary
Match Score: 85
Artefact is seeking a Junior Data Engineer to join their rapidly expanding team, focusing on data consulting and digital marketing. The ideal candidate should have experience in data engineering, with proficiency in SQL, Python, and cloud technologies like Azure and AWS.
Skills & Requirements
Must-have
SQL and Python proficiency
Databricks and Snowflake experience
Azure Data Factory and AWS Glue
Apache Airflow and PySpark usage
CI/CD implementation for data pipelines
Nice-to-have
Strong problem-solving skills
Excellent communication abilities
Experience with large scale projects
Continuous evaluation of new tools
Key Requirements
Bachelor's or Master's degree in Computer Science or Engineering
2+ years of industry experience in data engineering
Certifications in Azure, AWS, Databricks, or Snowflake preferred