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.