$120K - 160K a year
Design, implement, and optimize scalable data pipelines and workflows on AWS for enterprise analytics and BI.
5+ years data engineering with 3+ years AWS and PySpark/Spark experience, strong programming skills, CI/CD knowledge, and data governance expertise.
Job Type: Contract Job Category: IT Job Title: Senior AWS Data Engineer Location: Torrance, CA (Day 1 Onsite) Client: Wipro / Honda Employment Type: Contract Job Summary: We are seeking a highly skilled Senior AWS Data Engineer with strong expertise in data engineering, AWS cloud services, and large-scale data integration. The ideal candidate will design, implement, and optimize end-to-end data pipelines, ensuring accuracy, scalability, and performance for enterprise analytics and business intelligence initiatives. Key Responsibilities: Data Integration & Pipeline Development Design and implement data workflows using AWS Glue, EMR, Lambda, MWAA (Airflow), and Redshift. Build scalable ETL/ELT processes leveraging PySpark, Apache Spark, and Python. Ensure accurate extraction, transformation, and loading (ETL) of large datasets. Data Quality & Integrity Implement validation, cleansing, and monitoring mechanisms within pipelines. Ensure compliance with governance, regulatory, and industry standards. Performance Optimization Optimize workflows for performance, scalability, and cost-efficiency on AWS. Fine-tune queries and enhance Redshift performance by resolving bottlenecks. Collaboration & Business Support Translate business requirements into technical specifications for data pipelines. Partner with analysts and business stakeholders to ensure timely data delivery for BI and analytics. Documentation & Compliance Maintain technical documentation, workflow diagrams, and system specifications. Ensure adherence to data governance and compliance frameworks. Required Skills & Qualifications: 5+ years in data engineering, ETL, and data warehousing. 3+ years of hands-on AWS experience (S3, EMR, Glue, Athena, Redshift, RDS, Spectrum, Airflow). 3+ years in programming (Python, Java, or Scala) with strong PySpark/Spark experience. 2+ years with CI/CD tools and modern DevOps practices. Strong knowledge of distributed data processing (Hadoop, Spark) and data lake architectures. Excellent problem-solving and optimization skills. Required Skills DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER
This job posting was last updated on 10/14/2025