Data Engineer
- Job Title
- Data Engineer
- Job ID
- 27508508
- Location
- Columbia, SC 29201
- Other Location
- Description
-
Job Overview
Land Intelligence is seeking a savvy Data Engineer to join our growing team and help us continue to enhance our SaaS platform, LandSUITETM. The hire will be responsible for expanding and optimizing our data and data pipeline architecture to support product development and internal tools. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of re-designing our company's data architecture to support our next generation of products and data initiatives.Responsibilities
- Create and maintain optimal data pipeline architecture
- Assemble large, complex datasets that meet business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
- Build analytics tools that use the data pipeline to provide actionable insights into user behavior and market trends
- Work with stakeholders including the executive and product development teams to assist with data-related technical issues and support their data infrastructure needs
- Keep our data separated and secure across AWS regions
- Create data tools for analytics and team members that assist them in building and optimizing LandSUITETM into an innovative industry leader
Qualifications
- We are looking for a candidate with 5+ years of experience in a Data Engineer role who has attained a degree in Computer Science, Statistics, Informatics, Information Systems, or other quantitative field
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
- Strong project management and organizational skills
- Experience supporting and working with cross-functional teams in a dynamic environment
- Experience with the following software/tools:
- Experience with relational SQL and NoSQL databases, including Postgres, MySQL, and Cassandra
- Experience with data pipeline and workflow management tools
- Experience with stream-processing systems
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with object-oriented/object function scripting languages: Python, Java
- Required Skills
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Experience with relational SQL and NoSQL databases, including Postgres, MySQL, and Cassandra
Experience with data pipeline and workflow management tools
Experience with stream-processing systems
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with object-oriented/object function scripting languages: Python, Java