Manager of Data Engineering

nce data models, ETL frameworks and pipelines for Data Operations, Data Lake and Data Warehouse. Responsible for building data equity, its underlying code, tools, databases, and related infrastructure. Administer and maintain existing data engineering pipelines. Translate strategic needs into engineering goals and milestones. Analyze data needs and identify available internal and external sources. Utilize business and analytical data modeling skills to design data integration and structure approaches. Utilize programing skills to access and extract data from diverse sources residing on multiple platforms and implement large, complex data models by combining, synthesizing, and structuring data from databases and files. Provide support of integrated data environment in production, respond to, and resolve data issues, and troubleshoot system outages. Perform quality checks, contribute to metadata and data dictionaries, documents, repeatable extract, transform and load processes. Adapt divisional plans and priorities to address resource and operational challenges. Make decisions and solve problems based on policies, procedures, and division plan. Provide technical guidance to employees, colleagues and customers. Guide employees in career development and handle performance management process. Utilize understanding and experience with analytics. Utilize project management experience and work on a project from conception to delivery. 100% telecommuting permissible. Salary $152,786- $229,190 per year.

Minimum Requirements: Bachelor's Degree in Computer Science, Information Technology and Management, or related field plus 5 years of experience as a software engineer or related occupation. The 5 years of experience must include 5 years of experience with each of the following: (1) debugging, analysis, and software documentation; (2) coding with Python, JVM (Java, Scala), Apache Spark, SQL; (3) working with Agile methodologies in a DevOps environment; (4) database structures; (5) utilizing data integration patterns and tooling including ELT/ETL, EII, Replication, Event Streaming, and Virtualization to support batch and real-time data needs; and (6) data quality and data concepts.

Interested candidates send resume to [email protected]. Reference code 244 in the subject line.

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