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Lead Data Engineer

Atlanta, GA, United States

Job Title: Lead Data Engineer

Location: ALTA is supporting a direct hire opportunity working hybrid onsite/remote for a client located in the Atlanta, GA area

Summary:

The Lead Data Engineer is responsible for managing and organizing the client's enterprise data and overseeing the technical output of a team of data engineers. They will architect and design data pipelines and dictate how information should be managed, consolidated and stored for optimal use by the organization. Lead Data Engineers will support other Data Engineers, Data Architects, and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They will drive standardization and reduce effort through automation.

Essential Duties and Responsibilities:

Lead a team of engineers through architecture, 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

Required Experience:

Bachelor's/Tech School degree in Computer Science, MIS or Engineering or relevant technical field and/or commensurate years of real-world experience in software engineering.

7+ years of relevant experience in data management

5+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT

3+ years of experience with Cloud based DW such as Redshift, Snowflake etc.

Technical expertise with data models, data mining, and segmentation techniques

Experience in data acquisition, transformation and storage design using design principles, patterns and best practices

Experience with performance analysis and optimization

Experience with relational SQL and NoSQL databases, including Postgres and Cassandra

Experience with data pipeline and workflow management tools

Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Modern data platforms, Snowflake, dbt, Fivetran and Airflow.

Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc. Data engineering certification is a plus.

For immediate consideration, please apply directly or contact Patrick Jackson at

[email protected]

#J-18808-Ljbffr

Apply

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