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Data Engineer
2 months ago
Position: Data Engineer I
Schedule: Hybrid
Duration: 6+ Months
- Is your passion inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work affects the bigger picture? Answer yes to any of these and you will fit right in here at company Robotics.
- We are a smart team of doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we cannot even image yet.
- We invent new improvements every day.
- We are Company Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
- The Company Robotics (AR) Operations organization oversees the manufacturing of high-quality robotics and gets the right materials to the right place at the right time to enable our automated solutions.
- It’s a fast-paced operation that works cross-functionally with teams across Company globally, and is driven by data and performance indicators.
- Company Robotics is seeking a talented and motivated Data Engineer to design, develop and test data pipelines and centralized data store for test equipment and manufacturing operations data.
- Company Robotics software facilitates test workflows, robotic control and data pipelines to create a robust test driven architecture and user interfaces.
- You acquire expertise as needed, iterate, and adapt your approach as you learn more.
- You are deeply interested in pragmatic problem solving as well as taking risks in pioneering brand new areas.
- You create extendable design and easy to maintain technical solution with the long term vision in mind.
- If you can dream it and justify it, we will explore it.
Key Projects:
- Building data lake
Typical Tasks:
- As a Data Engineer you will contribute to the development of a data lake and data services.
- You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
- You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata.
- You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Qualifications:
- 3+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Redshift, Oracle, NoSQL etc.
Preferred qualifications:
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
