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We are looking for a Senior Data Engineer to join our agile data engineering team in Philadelphia, Pennsylvania. This role is vital in creating, optimizing, and deploying high-quality data solutions that support strategic business objectives. The ideal candidate will collaborate with cross-functional teams to ensure efficient data processes, robust governance, and innovative technical solutions.
Job Responsibility:
Design and implement secure and scalable data pipelines and products
Troubleshoot and enhance existing data workflows and queries for optimal performance
Develop and enforce data governance, security, and privacy standards
Translate complex business requirements into clear and actionable technical specifications
Participate in project planning, identifying key milestones and resource requirements
Collaborate with stakeholders to evaluate business needs and prioritize data solutions
Conduct technical peer reviews to ensure the quality of data engineering deliverables
Support production operations and resolve issues efficiently
Contribute to architectural improvements and innovation within data systems
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field
At least 5 years of experience in data engineering with a focus on analytics
Minimum of 3 years of experience working with cloud platforms such as Azure
Proficiency in big data technologies, including Synapse and Databricks, for 3+ years
Strong experience with scripting languages like Python and PowerShell for 3+ years
Familiarity with Apache Spark, Hadoop, and Kafka
Excellent problem-solving, communication, and analytical skills
Nice to have:
Certifications in Epic Cogito, Clarity Data Model, or Caboodle Data Model
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