Sr Data Engineer
hace 7 meses
Framework Science is on a MISSION that focuses on Exploring new technologies and building tomorrow’s Applications. This means we hire TOP Engineers and Designers by providing great benefits and pay so they can focus on solving what’s never been solved before. Our aim is to push the needle of innovation while enabling Technical staff to impact code or products at the architecture level. Work with very bright individuals and prosper economically for the value you bring to the table. Our culture is driven by putting our Engineers first with Work-life balance and an environment that sparks the imagination.
Join us as we dare to Explore the Unknown
Where do we come from?
Broadcom, Yahoo, Sony, Samsung, Thermo Fisher, Blackbaud, and many well-known tech companies.
**Job description**:
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The Data Engineer will support our software engineers, database architects and analysts on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
**Responsibilities**:
- Develop core data relationship, data ingest, data transformation services and search capabilities.
- Maintain all facets of data infrastructure, including backups/disaster recovery, software deployment/configuration, security best practices, performance tuning, and troubleshooting.
- 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
- Review project objectives and determine best technology for implementation. Implement best practice standards for development, build and deployment automation.
- Design, maintain and optimize highly distributed analytics data stores Write well-abstracted, reusable and efficient code
**Job Requirements**:
- 5+ years of relevant Data Engineering technical experience
- Bachelor’s degree in Technology based discipline preferred.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Experience with AWS cloud services: Lambda, S3, Glue, Redshift, and Athena, or their open source equivalent (Zeppelin, Presto, etc)
- Experience with data pipelining with AWS Datapipeline, Airflow or Luigi
- Experience with object-oriented/object function scripting languages: Python code development, python unit testing (tox), Pyspark
- Up-to-date on latest industry trends; able to articulate trends and potential clearly and confidently
- Understanding of best practices within the development process
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