Businessolver · 8 hours ago
Senior Data Engineer (Work Remotely Anywhere in the U.S.)
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Responsibilities
Building fault tolerant cloud solutions for Data Engineering
Aggregate, organize and translate large amounts of data to meet business requirements
Develop and optimize data and date pipeline architecture as well optimize data flow
Design and build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources such as Oracle, Amazon Relational Databases (RDS), SQL and AWS ‘big data’ technologies
Implement data storage solutions in AWS, utilizing services like Amazon S3, Redshift, RDS, and DynamoDB. Ensure systems are scalable and optimized for performance.
Partner with software engineers, BI team members, and data scientists to architect and build data-driven solutions, assist with data-related technical issues and support their data infrastructure needs.
Maintaining and Enhancing Existing Data Loads to the Data Warehouse and Data Lake
Maintaining Streaming Data from production Systems
Peer Reviewing code
Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining, and production.
Qualification
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Required
Degree in Computer Engineering/Science or related field, with 5+ years of professional experience in database/data lake development
Experience with multiple data sources such as Oracle, SQL, RDS, data lakes as well as NoSQL solutions
Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
3+ years experience with AWS big data cloud services such as Kinesis, Redshift, EMR, Athena and Glue deployed through Cloudformation
Proficient with ETL and Data Warehouse/Lake processes
Strong experience using Python or Unix shell scripting (preferably both) and a bonus if you have used boto3
Experience with Architecting Cloud Solutions
Experience in leading Multiple sprint project and Epics
Excellent verbal and written communication skills
Strong troubleshooting and problem-solving skills
Thrive in a fast-paced, innovative environment
Project management and organizational skills
Preferred
Cloud AWS Experience
Oracle, Postgres, EMR, Redshift, Linux experience
Ability to quickly understand business requirements and transform them into a data model
AWS CDK or Lakeformation experience is a plus
Experience with Agile Methodologies
Experience with complex/large data sets (Big Data)
Experience operating a Data Lake
Experience with Cloud Architecture/Engineering
Company
Businessolver
Businessolver is an employee benefits administration technology company.
Funding
Current Stage
Late StageTotal Funding
$65.16MKey Investors
Warburg Pincus
2021-12-01Acquired· undefined
2018-01-01Private Equity· undefined
2014-04-30Series Unknown· $65.16M
Recent News
Business Wire
2024-04-07
HR Executive
2024-01-19
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