Big Data Engineer

Location: Malvern, PA

Salary: Depends on Experience

Description:

Responsibilities

• Design, build, and maintain ETL (Extract, Transform, Load) pipelines and database solutions to support real-time and batch analytics.
• Troubleshoot data processing workflows to ensure consistency, integrity, and reliable delivery of large-scale, complex data from multiple sources.
• Translate business requirements into technical specifications and well-structured, maintainable code, including complex programs, ad hoc queries, and analytical reports.
• Collaborate with business partners and technical teams to understand data needs and deliver high-quality, scalable data solutions.
• Lead all phases of solution development, providing technical guidance, mentoring junior engineers, and presenting technical considerations to stakeholders.
• Assess data quality, perform thorough code testing, and ensure accuracy and reliability of data products.
• Serve as a technical consultant to internal clients, providing data analysis support and best-practice recommendations.
• Contribute to data engineering standards, tooling, and best practices across the broader data organization.
• Test, validate, and implement new software releases through structured regression testing, partnering with vendors to resolve issues and ensure production readiness.
  
  

Qualifications

• Minimum 8 years of experience in data analytics, programming, database administration, or data management.
• Bachelor's degree or equivalent combination of education and experience; master's degree preferred.
• Technical expertise in Python and AWS services, including S3, Redshift, Aurora, Athena, and Glue.
• Experience with version control and CI/CD tools such as GitHub, Bitbucket, and Bamboo.
• Familiarity with Agile methodologies, strong communication skills, and a growth-oriented mindset.
• Preferred experience with DPX blueprint processes, Dremio, Dell Boomi, or Attunity.
  
  

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Contact:

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