Lead Data Engineer - REMOTE
United States
We currently have a career opportunity for a Lead Data Engineer to join our team located in the United States.
Job Overview:
As a Lead Data Engineering Technical Consultant you are expected to have strong development and programming skills in Python, SQL, Pyspark, Azure, Databricks, Notebook Repositories (medallion architecture L2, L3, L4), Azure CI/CD, Teradata and other ETL development experience in the Big Data space. You are expected to be experienced and fluent in agile development and agile tools as well as code repositories and agile SDLC/DevOps frameworks.
You will work with architects and infrastructure teams to develop, test, deploy and troubleshoot your code as well as provide input into solutions and design of the system. You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions focused on our clients' business needs.
Data Solutions supports a wide variety of clients, technologies, and applications. Our Team members drive innovation in the arena of data management and solutions. We work on innovative digital transformation deployment for various clients across the globe. We had explosive growth in the last few years to meet the demands of a massive transition to digital. Our practice groups include Artificial Intelligence, Content, Data Governance, Data Management, Data Strategy and Search.
Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.
- Lead the technical planning & requirements gathering phases including estimate, develop, test, manage projects, architect and deliver.
- Serve as a technical lead and mentor. Provide technical support or leadership in the development and continual improvement of service.
- Develop and maintain effective working relationships with team members.
- Demonstrate the ability to adapt and work with team members of various experience level.
- Work with data engineering team to define and develop data ingestion, validation, transformation, and data engineering code.
- Develop platform components using Python, SQL, Pyspark, Azure, Databricks, Notebook Repositories (medallion architecture L2, L3, L4), Azure CI/CD and Teradata.
- Passionate coders with 8+ years of application development experience.
- 5+ years of hands-on experience using Python, SQL, …
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Collaborative culture Expand Experience work-life balance Global community Latest technologies Professional growth Work-life balance Work with latest technologies
Tasks- Deployment
- Develop and maintain relationships
- Leadership
- Lead technical planning
- Manage projects
- Mentor team members
- Provide technical support
- Requirements gathering
- Support
- Technical planning
- Testing
Agile Agile Development Agile SDLC Agile tools Application Development Architecture AWS Azure Azure Cloud Big Data Business CI/CD Cloud Communication Consulting Content Databricks Data engineering Data Governance Data ingestion Data Management Data Solutions Data Strategy Deployment Design DevOps Digital Transformation Engineering ETL Innovation Leadership Medallion architecture Planning Process Programming PySpark Python Requirements Gathering SDLC Spark SQL Support Technical Technical Planning Technical Support Technology Teradata Testing Training Unit Testing
Experience8 years
EducationBachelor's degree Computer Science Engineering Related Field
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9