Senior Data Engineer
Immediate opportunity for a Senior Data Engineer to join a top-notch company experiencing rapid growth!
RESPONSIBILITIES :
- Contribute to 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 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
This is a direct-hire position in Atlanta. Work a hybrid schedule - onsite three days a week at our Smyrna location!
REQUIRED SKILLS :
- 4+ years of data management experience
- 3+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components, and ETL / ELT
- Experience with performance analysis and optimization.
- Experience in data acquisition, transformation, and storage design using design principles, patterns, and best practices.
- 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.
PREFERRED SKILLS :
- Data engineering certification
- Bachelor's degree
Must be authorized to work in the US. Sponsorships are not available.
NO 3RD PARTIES OR C2C!!
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