Data Engineer, AWS, Mid-level
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
Promising value due to strong demand for data engineers with AWS and SQL expertise in the market.
- Strong market demand for data engineering expertise.
- Engagement in strategic and impactful projects.
- Collaboration opportunities with analytics teams.
- Requires solid technical grounding in AWS and SQL.
Pros
- Focus on strategic data projects enhancing job relevance.
- Collaboration with analytics teams fosters professional development.
- Potential to work with advanced data tools on modern platforms.
Cons
- Requires specific technical knowledge and experience with SQL and AWS.
- May be challenging to maintain work-life balance with project demands.
- Limited appeal for those outside of data engineering roles.
Who it's for
Mid-level • Remote/Telecommute
Good fit
- Mid-level data engineers seeking remote work.
- Professionals skilled in SQL and data integration.
- Individuals who thrive on technical challenges.
Not recommended for
- Beginners or those without practical data engineering experience.
- Candidates averse to collaborative work environments.
- Individuals lacking proactive data management skills.
Motivation fit
Key skills
About the job
• Work on a strategic data engineering and data governance project.
• If you enjoy technical challenges, have analytical reasoning skills, and are proficient in SQL and Oracle databases, this opportunity is for you.
• Develop, maintain, and optimize data pipelines (ETL/ELT);
• Perform integrations across multiple data sources (on-premises and cloud);
• Execute data extraction, transformation, and load routines using enterprise tools;
• Ensure data quality, consistency, and performance;
• Collaborate with the Analytics and Engineering teams, contributing best practices and scalable solutions;
• Document processes and support data governance initiatives.
Requirements
- Essential knowledge of Snowflake;
- Proven experience as a Data Engineer (mid-level);
- Strong SQL expertise (complex queries and performance optimization);
- Oracle database – required;
- Experience with ETL tools (DataStage desirable).
- Desirable:
- Knowledge of Python;
- Experience with AWS (S3, Glue, Redshift, etc.);
- Previous experience in the telecommunications sector is a plus.
🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills
- SQL
- Oracle database
- ETL
- ELT
- data pipelines
- data extraction
- data transformation
- data load
- Snowflake
- Python
Soft Skills
- analytical reasoning
- collaboration
- documentation
