Senior Data Engineer

2 weeks ago


Smyrna, United States Visionaire Partners Full time

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.


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