Miracle Software Systems, Inc.
Data Engineer Senior Development / 8 - 12 years
Miracle Software Systems, Inc., Lansing, Michigan, United States,
Responsibilities:
Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.Implement methods for automation of all parts of the pipeline to minimize labor in development and production.Experience in analyzing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products.Experience in working with architects to evaluate and productionalize data pipelines for data ingestion, curation, and consumption.Experience in working with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management.Experience Required:5+ years of SQL development experience.5+ years of analytics/data product development experience required.3+ years of cloud experience (GCP preferred) with solutions designed and implemented at production scale.Experience working with Airflow for scheduling and orchestration of data pipelines.Experience working with Terraform to provision Infrastructure as Code.2+ years professional development experience in Java or Python.Experience Preferred:In-depth understanding of Google’s product technology (or other cloud platform) and underlying architectures.Experience in working with DBT/Dataform.Experience with DataPlex or other data catalogs is preferred.Experience with development eco-system such as Tekton, Git, Jenkins for CI/CD pipelines.Exceptional problem solving and communication skills.Experience in working with Agile and Lean methodologies.Team player and attention to detail.Experience with performance tuning SQL queries.Education Required:Bachelor’s degree in computer science or related scientific field.Applicants are considered for employment without attention to or discrimination against race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All employment is decided on the basis of qualifications, merit and business need.
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Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.Implement methods for automation of all parts of the pipeline to minimize labor in development and production.Experience in analyzing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products.Experience in working with architects to evaluate and productionalize data pipelines for data ingestion, curation, and consumption.Experience in working with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management.Experience Required:5+ years of SQL development experience.5+ years of analytics/data product development experience required.3+ years of cloud experience (GCP preferred) with solutions designed and implemented at production scale.Experience working with Airflow for scheduling and orchestration of data pipelines.Experience working with Terraform to provision Infrastructure as Code.2+ years professional development experience in Java or Python.Experience Preferred:In-depth understanding of Google’s product technology (or other cloud platform) and underlying architectures.Experience in working with DBT/Dataform.Experience with DataPlex or other data catalogs is preferred.Experience with development eco-system such as Tekton, Git, Jenkins for CI/CD pipelines.Exceptional problem solving and communication skills.Experience in working with Agile and Lean methodologies.Team player and attention to detail.Experience with performance tuning SQL queries.Education Required:Bachelor’s degree in computer science or related scientific field.Applicants are considered for employment without attention to or discrimination against race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All employment is decided on the basis of qualifications, merit and business need.
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