Senior Data Engineer

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!!