One of our top clients is hiring a Lead Data Engineer:
The Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers. They will architect and design data pipelines and dictate how information should be managed, consolidated and stored for optimal use by the organization. Lead Data Engineers will support other Data Engineers, Data Architects, and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They will drive standardization and reduce effort through automation.
Essential Duties
Lead a team of engineers through architecture, design, demand delivery, code reviews, release management, implementation, presentations, and meetings.
Mentor fellow data engineers and contribute to ongoing process improvements for the team.
Evaluate business needs and objectives and align architecture/designs with business requirements
Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources
Assemble large, complex data sets and model our data in a way that meets functional / non-functional business requirements
Create data tools for analytics team members that assist them in generating innovative industry insights that provide our business a competitive advantage
Implement data tagging mechanisms and metadata management so data is accurately classified and visible to the organization
Build processes to help identify and improve data quality, consistency and effectiveness
Ensure our data is managed in a way that it conforms to all information privacy and protection policies
Use agile software development processes to iteratively make improvements to our data management systems
Identify opportunities for automation
Be an advocate for best practices and continued learning
Requirements
Bachelor's/Tech School degree in Computer Science, MIS or Engineering or relevant technical field and/or commensurate years of real-world experience in software engineering.
7+ years of relevant experience in data management
5+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT
3+ years of experience with Cloud based DW such as Redshift, Snowflake etc.
Technical expertise with data models, data mining, and segmentation techniques
Experience in data acquisition, transformation and storage design using design principles, patterns and best practices
Experience with performance analysis and optimization
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
Experience with data pipeline and workflow management tools
Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Modern data platforms, Snowflake, dbt, Fivetran and Airflow.
Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc. Data engineering certification is a plus.
About Seneca Resources:
Seneca Resources is a client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Virginia, Alabama, Georgia, Florida and Texas that service clients throughout the United States.
We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.