Edjuster
Sr. Data Engineer
Edjuster, Atlanta, Georgia, United States, 30383
We are looking for a Senior Data Engineer for the Enterprise Data Organization to build and manage data pipelines (Data ingest, data transformation, data distribution, quality rules, data storage, etc.) for Azure cloud-based data platform and Customer Data Platform (CDP). The candidate will require strong technical, analytical, programming, and critical thinking skills.
RESPONSIBILITIES
Design, develop, and maintain reliable automated data solutions based on the identification, collection, and evaluation of business requirements, including but not limited to data models, database objects, stored procedures, and views.Implement and configure CDP components, including data ingestion, data integration, data transformation, and data activation.Develop new and enhance existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components.Optimize performance of the CDP solution to meet SLAs.Stay abreast of CDP trends and recommend enhancements or new features to improve the platform.Support and troubleshoot the data environment (including periodically on call).Document technical artifacts for developed solutions.Exhibit good interpersonal skills; comfort and competence in dealing with different teams within the organization, requiring an ability to interface with multiple constituent groups and build sustainable relationships.Demonstrate a versatile, creative temperament, with the ability to think out-of-the-box while defining sound and practical solutions, and master new skills.Adopt a proactive approach to problem-solving involving collaboration with cross-functional teams and stakeholders.Familiarity with Agile practices and methodologies.
EDUCATION AND EXPERIENCE QUALIFICATIONS
Minimum 4-Year degree in Computer Science, Data Science, Information Science, or related field, or equivalent work experience.Minimum 8 years of experience in a Data Engineering role.
REQUIRED KNOWLEDGE, SKILLS, OR ABILITIES
Advanced SQL queries, scripts, stored procedures, materialized views, and views.3-4 years of experience in Customer Data Platform (mParticle preferred) processes such as designing, implementing, and maintaining.Focus on ELT to load data into the database and perform transformations in the database.Ability to use analytical SQL functions.Snowflake experience is a plus.Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming.Experience with DevOps models utilizing a CI/CD tool.Work in a hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob).Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau are preferred.Ability to analyze data models.
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RESPONSIBILITIES
Design, develop, and maintain reliable automated data solutions based on the identification, collection, and evaluation of business requirements, including but not limited to data models, database objects, stored procedures, and views.Implement and configure CDP components, including data ingestion, data integration, data transformation, and data activation.Develop new and enhance existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components.Optimize performance of the CDP solution to meet SLAs.Stay abreast of CDP trends and recommend enhancements or new features to improve the platform.Support and troubleshoot the data environment (including periodically on call).Document technical artifacts for developed solutions.Exhibit good interpersonal skills; comfort and competence in dealing with different teams within the organization, requiring an ability to interface with multiple constituent groups and build sustainable relationships.Demonstrate a versatile, creative temperament, with the ability to think out-of-the-box while defining sound and practical solutions, and master new skills.Adopt a proactive approach to problem-solving involving collaboration with cross-functional teams and stakeholders.Familiarity with Agile practices and methodologies.
EDUCATION AND EXPERIENCE QUALIFICATIONS
Minimum 4-Year degree in Computer Science, Data Science, Information Science, or related field, or equivalent work experience.Minimum 8 years of experience in a Data Engineering role.
REQUIRED KNOWLEDGE, SKILLS, OR ABILITIES
Advanced SQL queries, scripts, stored procedures, materialized views, and views.3-4 years of experience in Customer Data Platform (mParticle preferred) processes such as designing, implementing, and maintaining.Focus on ELT to load data into the database and perform transformations in the database.Ability to use analytical SQL functions.Snowflake experience is a plus.Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming.Experience with DevOps models utilizing a CI/CD tool.Work in a hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob).Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau are preferred.Ability to analyze data models.
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