Senior Data Engineer

Immediate need for a talented Senior Data Engineer. This is a Fulltime opportunity with long-term potential and is located in Atlanta, GA (Hybrid).

Please review the job description below and contact me ASAP if you are interested.

Job ID : (phone number removed)

Pay Range : $120k - $140k / annum. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities :

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.

Key Requirements and Technology Experience :

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 .

Our client is a leading Food and Beverages Industry and we are currently interviewing to fill this and other similar fulltime positions.

If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.