Senior Data Engineer – 100% REMOTE from CA

at Atrilogy Solutions Group, Inc.
Location Not Specified, Not Specified
Date Posted August 2, 2022
Category Engineering
Job Type Not Specified

Description

Atrilogy's direct client is seeking a Senior Data Engineer to join their team for a full-t ime, direct hire position . 100% REMOTE from CA.

Required Skills:

  • AWS or Azure or GCP (Any cloud)
  • SQL, Python, R, Scala, SAS (Any data science programming languages)
  • ETL, Power BI (Any BI tools)
  • CI or CD background
  • Description:
    Under minimal supervision will architect and lead the design and implementation of data analytics solutions to further advance the organization s strategic goals. In collaboration with Business and IT partners, will support efforts in re-engineering, optimizing and advancing the organization s data platform with modern analytics technologies that will address near-term and future business needs, and enable data-driven insights and decision making.

    ESSENTIAL FUNCTIONS:

  • Leads the technical delivery team and engages with organizational stakeholders (Business and IT) to design, develop and deliver end-to-end enterprise data analytics solutions to enable data-driven insights and decision making.
  • Understands overall data landscape to architect, design and implement data solutions that support IT and business strategic priorities and success measures.
  • Translates business requirements to technical solutions by applying technical knowledge and strong business acumen.
  • Solves business problems and complex data requirements/challenges by incorporating standards and best practices into engineering solutions, and leveraging modern data science programming languages (e.g., SQL, Python, R, Scala, SAS) and Azure data and analytics services.
  • Conducts data profiling, cataloging, and mapping of existing data sources to drive technical design and construct technical data flows.
  • Leads the development and implementation of database designs (logical and physical) and data models (normalized and dimensional) to support the new analytics platform.
  • Architects, designs, implements and maintains data ingestion/integration and end-to-end data pipeline processes using Azure technologies for a wide variety of traditional and non-traditional data sources/formats (structured, unstructured, and semi-structured) through various protocols (e.g., REST, SOAP, SFTP, MQ, etc.).
  • Develops and maintains architecture artifacts and technical specifications for the new data analytics platform.
  • Leads the agile delivery team and supports continuous integration/continuous delivery (CI/CD) and DevOps practices.
  • QUALIFICATIONS:

  • 7+ years of experience in Information Technology within a medium to large enterprise with complex business and IT environment.
  • 5+ years of experience as a Data Engineer/Data Architect working with cross-functional teams (within IT and/or Business) and leading technical resources on enterprise level business intelligence/data analytics implementations using Azure cloud-based analytics platforms/technologies (including hands-on experience with Microsoft/Azure stack, e.g., Synapse, Data Factory, Data Bricks, Data Lake, Data Catalog, SSIS, SQL, etc., and NoSQL databases).
  • 5+ years of hands-on experience in architecting, designing, implementing and maintaining data ingestion/integration and end-to-end data pipeline using Azure technologies for a wide variety of traditional and non-traditional data sources/formats (structured, unstructured, and semi-structured) through various protocols (e.g., REST, SOAP, SFTP, MQ, etc.).
  • 3+ years of experience working with and developing database designs (logical and physical) and data models (normalized and dimensional) for data warehouse, data marts and operational data stores.
  • 3+ years of hands-on experience working with data science programming languages (e.g., SQL, Python, R, Scala, SAS).
  • Experience leading technical resources in an agile delivery environment with advanced knowledge of continuous integration/continuous delivery (CI/CD) and DevOps practices.
  • Fluent and current on data analytics standards and best practices (e.g., design & implementation, data ingestion/integration, management, governance, security and privacy), emerging technologies and industry/market trends that can be applied to solution design and implementation.
  • Experience with gathering functional and non-functional requirements from Business and IT stakeholders.
  • Proficient with MS Office, Visio, data modelling tools (e.g., ER/Studio, Erwin, PowerDesigner).
  • Self-motivated professional team player with excellent problem-solving ability (analyze data, draw conclusions, and develop actionable recommendations); a creative mindset and superb interpersonal, written and verbal communication skills (including the ability to communicate at various levels within an organization and to explain complex or technical matters in a manner suitable for a non-technical audience).
  • Bachelor's degree or Master's degree from an accredited college/university in Data Science, Computer Science, Computer Engineering, Information Systems or a related discipline.
  • Azure Data Engineer Associate Certification preferred
  • Prior experience in the financial services industry (e.g., banking, asset management, insurance, mortgage, consumer & business lending) and enterprise business/financial applications (e.g., ERP, CRM, banking, loan origination/servicing) preferred.
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