Qualifications

Basic Requirements:

4+ years of experience as a data engineer in a production environment.
Fluency in Python, with strong experience in a Linux environment.
Strong SQL skills, with hands-on experience in Snowflake and MySQL.
Solid understanding of data modeling, schema design, and performance optimization.
Proficiency with Python data libraries: NumPy, Pandas, SciPy.
Experience building and maintaining real-time data pipelines using Kafka (Apache Kafka or AWS MSK).
Familiarity with AWS services including Lambda, Kinesis, S3, and CloudWatch.
Experience working with event-driven architectures and streaming data patterns.
Knowledge of RESTful APIs, data integration, and version control workflows (e.g., Git).
Comfortable in Agile development environments with strong testing and code review practices.

What We Offer

Remote Work: Enjoy flexibility and a competitive compensation package.
Professional Growth: Access to career development opportunities, training, and certifications.
Inclusive Environment: We foster a people-first culture where everyone can thrive professionally and personally.
At AccelOne, we value our team and prioritize a supportive, balanced work environment. Join us in delivering top-tier solutions to our clients while advancing your career in a rewarding setting.

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