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Lead Data Engineer

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Job Description: We are seeking an experienced Technology Lead / Lead Data Engineer with strong hands-on expertise in Python, AWS, and SQL. The ideal candidate will lead data engineering initiatives, build scalable data processing pipelines, and collaborate closely with architecture and business teams in a client-facing environment. This role requires strong technical leadership, experience working in Agile delivery models, and prior exposure to enterprise or financial industry environments.
Key Responsibilities:
  • Design, develop, and maintain scalable data engineering solutions using PythonBuild and optimize data processing, transformation, and orchestration pipelinesWork extensively with AWS cloud services for data storage, processing, and deployment
  • Collaborate with architects, business analysts, and stakeholders to gather and refine requirements
  • Translate business needs into technical solutions and system designs
  • Participate in design discussions and provide technical leadership for data platforms
  • Ensure data quality, performance, and reliability across pipelinesWork in an Agile/Scrum environment with distributed (onshore/offshore) teams
  • Support integration of AI/ML-related initiatives where applicable
  • Engage directly with client teams for requirement gathering and solution delivery
  • Required Skills & Qualifications 10+ years of experience in Data Engineering or related field
  • Strong hands-on experience in Python for data engineering
  • Proven experience with AWS cloud services (e.g., S3, Glue, Lambda, EMR, Redshift, etc.)Strong proficiency in SQL and data modeling
  • Experience in data transformation and orchestration frameworks
  • Strong communication skills and client-facing experience
  • Experience working in Financial Services or Banking domain preferred
  • Ability to work onsite/hybrid in Irvine, CA