Technogen International Company
Data Engineer
Technogen International Company, Indianapolis, IN
Position: Data Engineer
Duration: 12 Months
Location: Remote
Interview mode: Webcam only
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
Skills:
• Hands-on experience with data engineering design and implementation
• Experience with data modeling design and implementation
• Hands-on industry experience programming in SQL on relational database platforms (T-SQL and PL/SQL preferred)
• Hands-on industry experience working with enterprise ETL/ELT tools (Azure Data Factory and Databricks preferred)
• Hands-on experience with modern programing languages like Python, C#, JavaScript, etc (Python preferred)
• Hands-on experience with Azure, AWS, and/or GCP cloud platforms (Azure preferred)
• Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Technology or a similar field
• Progressive mindset particularly around deployment models and emerging technologies
• Collaborative team player who is detailed oriented, focused on solution quality and execution
• Experience with Docker for containerization and Kubernetes for orchestration
Duration: 12 Months
Location: Remote
Interview mode: Webcam only
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
Skills:
• Hands-on experience with data engineering design and implementation
• Experience with data modeling design and implementation
• Hands-on industry experience programming in SQL on relational database platforms (T-SQL and PL/SQL preferred)
• Hands-on industry experience working with enterprise ETL/ELT tools (Azure Data Factory and Databricks preferred)
• Hands-on experience with modern programing languages like Python, C#, JavaScript, etc (Python preferred)
• Hands-on experience with Azure, AWS, and/or GCP cloud platforms (Azure preferred)
• Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Technology or a similar field
• Progressive mindset particularly around deployment models and emerging technologies
• Collaborative team player who is detailed oriented, focused on solution quality and execution
• Experience with Docker for containerization and Kubernetes for orchestration