Senior Data Engineer (hybrid)
Our Enterprise Data and Analytics engineering team is looking for a Data Engineer.
This team is responsible for building Enterprise Data assets in Azure Data Lake platform and Synapse Database, Data Governance and Data Compliance.
Responsible for building, maintaining, and optimizing data pipelines and moves these data pipelines effectively into production for key data consumers.
Provides data expertise when building and testing features and components and participates in the development and management of APIs that access key data sources.
Works to guarantee compliance with data governance and data security requirements while creating, improving and operationalizing integrated and reusable data pipelines.
Key Accountabilities:
Leads the Architecture, designs, prototypes, and builds complex data management systems that combine core data sources into data warehouses, cloud data lake, data science platforms or other accessible structures.
Leads Data Modeling, collaborates with data architecture and Enterprise Integration teams
Leads enterprise data strategy, researches various tools, frameworks and processes for building scalable modern data platforms as well as help business stakeholders with establishing consumption patterns for reporting and advanced analytics
Leads Designs and implements processes to ensure data integrity and standardization.
Recommends and implements data reliability, efficiency, and quality improvements.
Collaborates with Data Governance and Data compliance team members.
Learns and applies modern data preparation, integration and metadata management tools and techniques.
Leads strategy for implementing new techniques in the enterprise by adhering to architectural standards and best practices, business stakeholder communication.
Minimum Requirements:
Bachelors Degree and/or 8-10 years of related experience OR High School Diploma or GED with 10- 12 years of related experience
Strong effective communication skills, both verbal and written.
Experience in Azure cloud with Data Lake, Synapse database, Azure Data Factory and Databricks.
Experience in Data Analysis using various tools such as SQL, SAS, R, Python.
Experience in Data Modeling.
Experience in reporting and dashboarding tools such as Tableau, Power BI etc.
Working knowledge of Data Quality, Data Governance and Data compliance tools.
Has a wide range of experience knowledge and/or skill in specific aspects of the job within their own discipline and is learning about the broader function.
Anticipates problems and is able to recognize wider implications.
Determines methods and procedures to complete new assignments
Works under limited to no supervision
May act as a specialist
Duties and assignments require considerable judgement and initiative
Understands the duties and responsibilities of the job and their practical implications and any deviations.
Analyzes complex problems and recommends solutions.
Required Skills Required Experience Recommended Skills Api Architecture Azure Data Factory Core Data Data Analysis Data Lake Estimated Salary: $20 to $28 per hour based on qualifications.
This team is responsible for building Enterprise Data assets in Azure Data Lake platform and Synapse Database, Data Governance and Data Compliance.
Responsible for building, maintaining, and optimizing data pipelines and moves these data pipelines effectively into production for key data consumers.
Provides data expertise when building and testing features and components and participates in the development and management of APIs that access key data sources.
Works to guarantee compliance with data governance and data security requirements while creating, improving and operationalizing integrated and reusable data pipelines.
Key Accountabilities:
Leads the Architecture, designs, prototypes, and builds complex data management systems that combine core data sources into data warehouses, cloud data lake, data science platforms or other accessible structures.
Leads Data Modeling, collaborates with data architecture and Enterprise Integration teams
Leads enterprise data strategy, researches various tools, frameworks and processes for building scalable modern data platforms as well as help business stakeholders with establishing consumption patterns for reporting and advanced analytics
Leads Designs and implements processes to ensure data integrity and standardization.
Recommends and implements data reliability, efficiency, and quality improvements.
Collaborates with Data Governance and Data compliance team members.
Learns and applies modern data preparation, integration and metadata management tools and techniques.
Leads strategy for implementing new techniques in the enterprise by adhering to architectural standards and best practices, business stakeholder communication.
Minimum Requirements:
Bachelors Degree and/or 8-10 years of related experience OR High School Diploma or GED with 10- 12 years of related experience
Strong effective communication skills, both verbal and written.
Experience in Azure cloud with Data Lake, Synapse database, Azure Data Factory and Databricks.
Experience in Data Analysis using various tools such as SQL, SAS, R, Python.
Experience in Data Modeling.
Experience in reporting and dashboarding tools such as Tableau, Power BI etc.
Working knowledge of Data Quality, Data Governance and Data compliance tools.
Has a wide range of experience knowledge and/or skill in specific aspects of the job within their own discipline and is learning about the broader function.
Anticipates problems and is able to recognize wider implications.
Determines methods and procedures to complete new assignments
Works under limited to no supervision
May act as a specialist
Duties and assignments require considerable judgement and initiative
Understands the duties and responsibilities of the job and their practical implications and any deviations.
Analyzes complex problems and recommends solutions.
Required Skills Required Experience Recommended Skills Api Architecture Azure Data Factory Core Data Data Analysis Data Lake Estimated Salary: $20 to $28 per hour based on qualifications.
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