Data Engineer

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Description

• Build small, well-defined, reusable components of a larger process or framework to support analytics products with guidance from experienced peers • Build well-defined components that support the implementation of product features in collaboration with business and Technology stakeholders • Solve straightforward data management issues to improve data quality • Clean, prepare and optimize data for ingestion and consumption • Support the implementation of new data management projects and re-structure of the current data architecture • Implement simple automated workflows and routines using workflow scheduling tools • Understand and use current continuous integration, test-driven development and production deployment frameworks • Participate in design, code, and test plan reviews to increase knowledge and application of best practices • Analyze and profile data for designing components of a scalable solution • Troubleshoot complex data issues and perform root cause analysis to resolve product issues

Requirements

• Bachelor's degree in Computer Science or other relevant fields of Study with 3+ Years of Relevant Experience • 3+ years’ experience developing Data & Analytic solutions • 1+ Years experience building data lake solutions using one or more of following: AWS, Databricks, DBSQL, EMR, S3, Hive & Spark • Experience with relational SQL • 1+ Years Experience with scripting languages such as Shell, Python • Deep knowledge of Cloud based data platforms and architecture • Has a strong problem solving and analytical mindset • Strong verbal and written communication skills • Able to quickly pick up new programming languages, technologies, and frameworks • Experience with source control tools such as GitHub • Experience with any of the Cloud computing platforms and Data Engineering • Experience working in Agile/Scrum Methodology • Has a passion for data solutions