Senior Data Architect

3 weeks ago


Edison, New Jersey, United States The Dignify Solutions LLC Full time
Key Responsibilities:

As a Senior Data Architect at The Dignify Solutions LLC, you will be responsible for designing and implementing large-scale data systems. This includes developing ETL processes for data warehouses, creating Informatica mappings and workflows, and ensuring data integrity through proficient programming against large data assets with a working knowledge of SQL. Additionally, you will be expected to have expertise in integration technologies and processes, as well as hands-on experience with Airflow or automated job scheduling tools. You will also be responsible for experience with API/REST, JSON, and experience working on an Agile Development team and delivering features incrementally. Furthermore, you will be expected to have experience with Git repositories, experience developing in Python, experience working with Pytest framework, or other testing frameworks, and experience with cloud platforms (AWS, Azure) with a strong preference towards AWS. You will also be responsible for experience in Database design practices, experience building data automation pipelines, and experience working with Azure DevOps, JIRA or similar project tracking software. Finally, you will be expected to have experience with both Windows and Linux.

Requirements:

7+ years of experience in data engineering and architecture
2+ years of hands-on experience in ETL development for a data warehouse
2+ years of hands-on experience in development, maintenance, and enhancements of Informatica Mappings, Workflows, and processes
Proficient in programming against large data assets with a working knowledge of SQL
Expertise with integration technologies and processes
Hands-on experience or knowledge about Airflow, or automated job scheduling tools
Experience with API/REST, JSON
Experience working on an Agile Development team and delivering features incrementally
Experience with Git repositories
Experience developing in Python
Experience working with Pytest framework, or other testing frameworks
Experience with cloud platforms (AWS, Azure) with strong preference towards AWS
Experience in Database design practices
Experience building data automation pipelines
Experience working with Azure DevOps, JIRA or similar project tracking software
Experience with both Windows and Linux
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