Job Description

<p>About the Role We are seeking a highly experienced Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-native data solutions. The ideal candidate brings deep expertise in Python, PySpark, and AWS services, with a proven track record in large-scale ETL development, real-time data ingestion, and cloud infrastructure optimization. This role offers the opportunity to work at the intersection of data engineering, cloud architecture, and business intelligence.</p> <b>Required Qualifications:</b> <ul> <li>12+ years of experience in data engineering, ETL development, or a related field.</li> <li>Expert-level proficiency in Python and PySpark for large-scale data processing.</li> <li>Hands-on experience with AWS services: Lambda, Glue, EMR, S3, Redshift, Step Functions, SQS, SNS, CloudWatch, API Gateway, IoT Core.</li> <li>Proven experience building real-time streaming pipelines using Ap...

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