Back
Mid-level generalist data role with common SQL/Python/cloud requirements increases applicant density.
Data engineering skills (SQL, Python, ETL) are highly transferable across industries.
Explicit 5–8 years plus mandatory SQL, Python, cloud and ETL skills makes filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable data pipelines and SQL-based data models for BI and analytics.
Own end-to-end delivery of data engineering tasks, including troubleshooting and production support to ensure data reliability.
Collaborate closely with BI analysts, data scientists, and product teams to understand requirements and drive data initiatives to completion.
Bachelor's degree in Computer Science, Engineering, or a related field.
5–8 years of hands-on experience in data engineering, BI engineering, or a similar data-focused role.
Strong proficiency in SQL and Python with solid experience in ETL/ELT and data pipeline design.
Experience with cloud platforms (Azure, AWS, or GCP) and working knowledge of modern data storage, compute, or analytics services.
Experienced individual contributor comfortable working independently without direct reports.
Skilled in proactive problem-solving and production support under time pressure to maintain data pipeline stability.
Familiar with cross-functional collaboration involving BI, data science, and product teams in fast-paced data environments.