Descripción del trabajo
Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 160,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment.
Great people make Schneider Electric a great company
Join an exciting team and help drive transformation on our digital journey. As a Data Engineer for NAM E.IT Data Ops you will build robust, fault tolerant, near real-time, and scalable data pipelines to supply our NAM business with operational, analytics and reporting ready data.
What do you get to do in this position?
Design, build, test and operate robust and scalable data pipelines for streaming and batch data
Design, build, test and maintain a scalable and reliable data repository for operational, analytical and reporting uses
Develop best practices and frameworks for automation and CI/CD for data pipelines
Refactor legacy pipelines for modern infrastructure and frameworks
Create and maintain an optimized cloud based infrastructure
Embed end-to-end security and privacy
Tenaciously solve problems and make decisions under uncertainty
Actively contribute to team ceremonies including: sprint planning, daily stand-up, sprint review and retrospectives
Demonstrate a strong ownership in understanding business needs and driving business valued outcomes
University degree in a quantitative concentration: Computer Science, Engineering, Mathematics, Economics or equivalent
3+ years of designing, building, testing and operating data pipelines in AWS
3+ years of hands on experience building data pipelines with Python, Scala, or Java
3+ years of hands on experiences building on the Hadoop stack especially Spark
3+ years of experience modelling data in normalized, denormalized and graph structures
Experience developing and operating workflow orchestration (Apache Airflow)
Excellent proficiency with Python, SQL, PySpark, Spark SQL
Strong experience with schema design and data modelling
Fluent in English
AWS Certification: Solutions Architect, SysOps Administrator, Developer, DevOps Engineer
Experience building secure systems compliant with ISO 27001 and NIST 800-53
Experience with streaming data services (Kafka, Kinesis, MKS, DMS)
Experience with data warehousing solutions (Redshift, Snowflake)
Experience with log based change data capture extraction (Qlik Data Integration, Attunity Replicate, AWS DMS)
Experience with developing containerized solutions (Docker)
Experience programming in Java and Scala
Experience with Delta Lake
Experience with threat modeling
We seek out and reward people for being straightforward, open, passionate, effective and challenging the status quo. We want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company. We’re looking for people with a passion for success — on the job and beyond. See what our people have to say about working for Schneider Electric:https://youtu.be/6D2Av1uUrzY.
Let us learn about you! Apply today.
You must submit an online application to be considered for any position with us. This position will be posted until filled.
It is the policy of Schneider Electric to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
Concerning agencies: Schneider Electric does not accept unsolicited resumes and will not be responsible for fees related to such.