Job Description
3+ years of work experience as Data or Software Engineer using Big Data technologies.
Software development of production systems with proper testing, version controlling and continuous integration.
Proficiency in one of the following programming languages: Python, Scala.
Familiar with Azure big data technology stack (Databricks, Data Lake Storage, SQL Datawarehouse, IoT Hub, ML Service).
Desire to work with IoT data on global scale, experience in this topic is a plus.
Familiar with agile working methodologies e.g. Scrum, Kanban.
Languages: fluent English both written and spoken.
Job Responsibilities
Design and build data pipelines to ingest, integrate, standardize, clean and publish data.
Execute data sourcing and data integration tasks.
Collaborate closely with Data Science team in an agile way translating their requirements into work items.
Integrate analytical models developed by the Data Science team into performant and scalable end-to-end data pipelines.
Support, monitor and maintain an Analytics Platform.
Monitor and analyze the performance of entire data pipelines.
Analyze data organization to drive optimization and improvement for the product development and maintenance.
About GlobalLogic
Headquartered in Silicon Valley, GlobalLogic employs over 11,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals..
Company website:
https://www.globallogic.com/careers/
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