We’re looking for a Lead Data Engineer to join a Chicago-based Financial services company. This role offers hybrid work with remote flexibility.
You will be part of a close-knit group that embodies a startup culture within a larger enterprise.
The team is dedicated to developing and enhancing their high-volume and complex latency fraud processing platform. As a Lead Data Engineer, you will be at the forefront of building real-time, low-latency streaming solutions to scale their fraud-detection capabilities.
Required Skills & Experience
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
- 5+ years of software development experience, focusing on scalable data platforms.
- Expertise in designing, developing, optimizing, and maintaining data pipelines using AWS services.
- Experience in building modern data lakes and understanding data platforms & services strategies.
- Ability to foster a culture of sharing, re-use, and operational efficiency in data solutions.
- Experience leading the evaluation and implementation of emerging tools to modernize data platforms.
- Ability to work with analysts and architects to develop technical architectures for data engineering projects.
Desired Skills & Experience
- 6+ years of overall technology experience, including 4+ years of hands-on software development, data engineering, and systems architecture.
- Experience with AWS services such as Lambda, Glue, S3, Redshift, EMR, and Kinesis.
- Thorough understanding of Data Lake architectures and ETL / ELT operations.
- Proficiency in Java, Python, Spark, PySpark, and Hadoop distributions.
- Hands-on experience with streaming technologies like Kafka or MapR.
You will receive the following benefits :
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) including match- if applicable
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
LI-GF1
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