Senior Data Engineer
WFA Digital Insight
As remote work continues to reshape the tech landscape, the demand for skilled data engineers has surged notably. A recent market analysis shows that positions in data engineering have risen by 40% compared to last year. Companies like Oowlish Technology are at the forefront of this demand, providing remote roles that not only enhance professional growth but also cater to a diverse and international clientele. Candidates for this Senior Data Engineer role will need to showcase strong skills in AWS services and data modeling. Before applying, candidates should be prepared to discuss their experiences with large-scale enterprise environments and their proficiency with modern data architectures.
Job Description
About the Role
Oowlish Technology is searching for a Senior Data Engineer with a strong foundation in enterprise data modeling and AWS-based platforms. This remote role focuses on optimizing data models and maintaining event-driven pipelines.Responsibilities
- Collaborate with cross-functional teams to enhance data ecosystems.
- Develop and maintain data pipelines with a focus on scalability and performance.
- Support API data integrations and collaborate on infrastructure improvements.
Requirements
- 6+ years of experience in Data Engineering.
- Strong expertise in Snowflake and Aurora Postgres.
- Advanced SQL and data modeling skills (logical and physical design).
- Hands-on experience with AWS services (Glue, Lambda, DMS, EventBridge).
- Proficient in Python for data pipeline development.
- Familiarity with CI/CD practices (GitHub Actions).
- Availability to work in the Eastern Time zone.
Nice to Have
- Experience with Terraform and infrastructure-as-code practices.
- Background in performance tuning at scale.
- Prior exposure to automated data quality frameworks and large distributed systems.
Benefits
- Flexible home office environment.
- Competitive salary based on experience.
- Career development plans for growth.
- Opportunities to work on international projects.
How to Stand Out
- Brush up on your AWS services knowledge, specifically Glue and Lambda, as they are pivotal for this role.
- Highlight previous experiences with Snowflake and enterprise data platforms in your resume.
- During interviews, be ready to demonstrate your problem-solving skills in optimizing data models and pipelines.
- Prepare specific examples of your previous work with data engineering projects, showcasing your impact on performance and scalability.
- Don't hesitate to ask about career growth opportunities during the interview; it shows your interest in long-term commitment.
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