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• Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
• Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
• Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
• The candidate must be experienced in various Software Development Lifecycle (SDLC) methodologies, including Waterfall and Agile, and have a solid understanding of technology and data.

Requirements

Qualifications:

• 5+ years of database engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of experience writing Microsoft SQL Server and/or Oracle relational database queries, stored procedures ,query optimization and performance tuning
• 2+ years of strong experience in Big Data technologies such as Python, Hive, and Spark
• 4+ years in development of data pipelines/ETL for data ingestion, data preparation, data integration, data aggregation, feature engineering, etc.
• 1+ years of experience with scripting languages such as Bash, PowerShell, Shell
• 2+ years of experience with Agile in a development environment