Platform Data Engineer
Aperia Technologies
π΅ $115k-$150k
πRemote - United States
Please let Aperia Technologies know you found this job on JobsCollider. Thanks! π
Job highlights
Summary
Join Aperia, a leader in commercial vehicle fleet efficiency and sustainability solutions, as a remote Data Engineer! Reporting to our Michigan office, you will be a key contributor to our data engineering team. You will design, build, and maintain robust data pipelines using AWS technologies. This role requires high technical expertise in architecture, design, development, and performance optimization. You will collaborate with various stakeholders to translate data sources into valuable data products. A competitive salary and benefits package are offered.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, or a related field
- 3+ years of experience as a Data Engineer or a similar role
- Strong proficiency in SQL and Python
- Experience working with AWS technologies, including RDS, Redshift, Glue, Athena, and Sagemaker
- Knowledge of data warehousing and data lake concepts
- Experience with data modeling and ETL processes
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
Responsibilities
- Design, build, and maintain scalable data pipelines using AWS technologies like RDS, Redshift, Glue, Athena, and Sagemaker
- Transform raw data into a structured format suitable for analysis and consumption by data products
- Ensure data quality by implementing data validation and cleansing processes
- Adhere to data governance standards and best practices to protect data integrity and security
- Collaborate with data analysts, scientists, and product teams to understand their data requirements and deliver solutions that meet their needs
- Stay up-to-date with the latest data engineering technologies and trends to drive innovation and improve efficiency
Preferred Qualifications
- Certification in AWS technologies (e.g., AWS Certified Data Analyst, AWS Certified Big Data - Specialty)
- Experience with data visualization tools like QuickSight
- Knowledge of machine learning and AI concepts
Benefits
- Equity
- Bonuses
- Stipends
- Medical
- Dental
- Vision
- 401-k
- Long-term disability insurance
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