Lucid Technologies Inc
The Logical Solutions
Data Engineer
Role/Title: - Data Engineer
Remote, Indianapolis , Indiana
Agency Interview Type: Webcam only
General Description
Design and implement data modeling and data engineering solutions for complex, advanced analytical projects to perform data sourcing, data profiling, data ingestion, data manipulation, and data modeling functions.
Job Description
Translate technical complexities, develop appropriate solutions, and contribute to the agency of transformation our agency into a data-driven culture.
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
Supervisory Responsibilities/Direct Reports:
No direct supervision responsibilities. Some oversight/guidance of staff on projects
Difficulty of Work:
Work assignments involve contributing to a wide variety of general and complex modeling and data engineering projects. The broad range of project goals requires excellent time management, analytical prowess, database querying, and data engineering design and implementation skills. Good judgement and ability to apply specialized knowledge are required to perform duties successfully. Work assignments also require critical thinking and decision-making abilities.
Responsibility:
Expected to complete project tasks independently with minimal guidance from senior staff. Work products are periodically reviewed for quality, accuracy, efficiency, and achievement of project goals by senior staff. Incumbent keeps supervisor and coworkers apprised of work.
Regularly responsible for execution of tasks that impact priorities, as well as tasks impacting specific program areas. May also contribute to projects with broader agency impact, under supervision of senior staff.
Expected to work collaboratively with other staff to make progress toward agency priorities and advancing the mission.
Personal Work Relationships:
This staff member works independently, with some support from other team members and management, to complete various modeling and data engineering projects. Maintains relationships with project teams and program area staff.
Physical Effort:
Requires sitting for long periods in front of a computer.
Working Conditions:
Work is performed indoors in a routine office environment or from an approved remote location.
Skills Matrix
Hands-on experience with data engineering design and implementation Required 2 Years
Experience with data modeling design and implementationRequired 2 Years
Hands-on industry experience programming in SQL on relational database platforms (T-SQL and PL/SQL preferred) Required 2 Years
Hands-on industry experience working with enterprise ETL/ELT tools (Azure Data Factory and Databricks preferred) Required 2 Years
Hands-on experience with modern programing languages like Python, C#, JavaScript, etc (Python preferred) Required 1 Years
Hands-on experience with Azure, AWS, and/or GCP cloud platforms (Azure preferred) Required 2 Years
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Technology or a similar field Required
Progressive mindset particularly around deployment models and emerging technologies Required
Collaborative team player who is detailed oriented, focused on solution quality and execution Required
Experience with Docker for containerization and Kubernetes for orchestration Highly desired
Thanks &
Regards,
Manoj E
IT Recruiter
Lucid Technologies Inc
O: 214-385-4144
Ext: 207
F: 214-889-5857
Supplier
Registration: https://lucidtechinc.com/supplierregistration