Data Engineer

<div><b>Data Engineer<br /> Work Arrangement: 100% Onsite 5 Days per Week (Chicago, IL)<br /> Position Type: W2 Only</b></div> <div><br /> <b>Interview Process:<br /> 1st Round Video Call<br /> 2nd Round In-Person</b></div> <div><br /> <b>Responsibilities</b><br /> Build and maintain scalable data pipelines using Python, SQL, and Hadoop ecosystem tools</div> <div>Develop, optimize, and maintain Spark (PySpark) jobs for large-scale data processing</div> <div>Work extensively with HDFS, Hive, YARN, and other on-prem Hadoop components</div> <div>Perform data modeling, schema design, and transformation for analytics workloads</div> <div>Troubleshoot and tune data jobs for performance, reliability, and cost efficiency</div> <div>Collaborate with business and technical stakeholders to define data requirements and t...