Talent.com
Data Engineer

Data Engineer

RadcubeIndianapolis city, Indiana, United States
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Essential Duties / Responsibilities : - Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation - Performing extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. - Designing and implementing data solutions for operational and secure integration across systems. - Assist, with guidance and oversight from data architects, in creating database models and architecture design and documentation - Conduct research and development as well as contribute to the long-term positioning of and emerging technologies related to data sourcing, cleansing, and integration - Documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. - Improving operations by conducting systems analysis; recommending changes in policies and procedures. - Involvement requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms.

Job Requirements :

  • Bachelor’s degree in Computer Science, Engineering or a similar field is required
  • 3+ years of data engineering, software engineer, or similar experience
  • 2+ hands-on industry experience working with SQL on various relational database platforms (Microsoft, Oracle, Hana, Postgres, etc.)
  • 2+ hands-on industry experience working with enterprise ETL / DW tools like Azure Data Factory, Redshift, Informatica, etc.
  • Hands-on experience with aspects of data engineering design and implementation including data sourcing, data modeling of warehouses / marts / repositories, data integration / transformation / ETL, APIs, reporting, business intelligence and analytics
  • Hands-on experience with modern programing languages like Python, C#, JavaScript, etc.
  • Hands-on experience with cloud platforms like AWS, Azure, GCP, etc.
  • Experience with Docker for containerization and Kubernetes for orchestration a plus
  • Collaborative team player who is detailed oriented, focused on solution quality and execution
  • Progressive mindset particularly around deployment models and emerging technologies

Requirements

Essential Duties / Responsibilities : - Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation - Performing extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. - Designing and implementing data solutions for operational and secure integration across systems. - Assist, with guidance and oversight from data architects, in creating database models and architecture design and documentation - Conduct research and development as well as contribute to the long-term positioning of and emerging technologies related to data sourcing, cleansing, and integration - Documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. - Improving operations by conducting systems analysis; recommending changes in policies and procedures. - Involvement requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms.

Job Requirements :

  • Bachelor’s degree in Computer Science, Engineering or a similar field is required
  • 3+ years of data engineering, software engineer, or similar experience
  • 2+ hands-on industry experience working with SQL on various relational database platforms (Microsoft, Oracle, Hana, Postgres, etc.)
  • 2+ hands-on industry experience working with enterprise ETL / DW tools like Azure Data Factory, Redshift, Informatica, etc.
  • Hands-on experience with aspects of data engineering design and implementation including data sourcing, data modeling of warehouses / marts / repositories, data integration / transformation / ETL, APIs, reporting, business intelligence and analytics
  • Hands-on experience with modern programing languages like Python, C#, JavaScript, etc.
  • Hands-on experience with cloud platforms like AWS, Azure, GCP, etc.
  • Experience with Docker for containerization and Kubernetes for orchestration a plus
  • Collaborative team player who is detailed oriented, focused on solution quality and execution
  • Progressive mindset particularly around deployment models and emerging technologies
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    Data Engineer • Indianapolis city, Indiana, United States