- Contribute on a team of data engineers through 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
- Snowflake, Oracle Data Integrator, and AWS experience are MUST HAVES. Everything else can be flexible.
- Bachelor's/Tech School degree in Computer Science, Information Systems, Engineering or equivalent and/or commensurate years of real-world experience in software engineering.
- 4+ years of relevant experience in data management
- 3+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT.
- Experience with performance analysis and optimization.
- Experience in data acquisition, transformation and storage design using design principles, patterns and best practices.
- Data engineering certification is a plus.
- Experience with Informatica, Kafka, CDC, SQL, Irwin, Python, AWS (S3, Athena, Glue, Kinesis, Redshift), Spark, Scala, AI/ML, Modern data platforms, Snowflake, dbt, Fivetran and Airflow .
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Senior Data Engineer - Atlanta, United States - Seneca Resources
![Seneca Resources background](https://contents.bebee.com/companies/us/seneca-resources/background-HPIls.png)
Description
This is a direct hire role that WILL NOT provide sponsorship.
Position Title: Senior Data Engineer
Location: Atlanta, Georgia
Environment: Hybrid
Position Status: Full-Time, Direct-Hire
Position Description:
Summary
The Senior Data Engineer is responsible for managing and organizing our enterprise data. They will translate requirements and designs into functional data pipelines while ensuring the continued quality and completeness of information. Senior Data Engineers will combine raw information from different sources to create consistent and machine-readable datasets that are easy to analyze and support company initiatives. They will support other Data Engineers and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They will also implement methods to improve data reliability and quality, improve data visibility and reduce effort through automation.
Essential Duties
Requirements
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.