Astreya
Astreya is a leading global provider of IT Managed Services and Technology Solutions, known for its innovative approach to digital engineering and IT logistics. The company focuses on empowering businesses to excel in today's dynamic digital landscape by maximizing productivity and fostering innovation. Astreya offers a range of services including Data Center & Network Management, Digital Workplace Services, Next-Gen Digital Engineering, and Cybersecurity Services. With a commitment to excellence and a focus on operational frameworks, Astreya aims to transform technology into a valuable strategic asset for organizations worldwide.
Amplified Enterprise Productivity and Employee Satisfaction • IT End User Support • Asset Management • Network Operations Support • Contract Management
Data Engineer II
November 28, 2024
Astreya
Astreya is a leading global provider of IT Managed Services and Technology Solutions, known for its innovative approach to digital engineering and IT logistics. The company focuses on empowering businesses to excel in today's dynamic digital landscape by maximizing productivity and fostering innovation. Astreya offers a range of services including Data Center & Network Management, Digital Workplace Services, Next-Gen Digital Engineering, and Cybersecurity Services. With a commitment to excellence and a focus on operational frameworks, Astreya aims to transform technology into a valuable strategic asset for organizations worldwide.
Amplified Enterprise Productivity and Employee Satisfaction • IT End User Support • Asset Management • Network Operations Support • Contract Management
📋 Description
• We are looking for a 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 data analysts on data initiatives. • Create and maintain optimal data pipeline architecture. • Assemble large, complex data sets that meet functional / non-functional business requirements. • Build the infrastructure required for optimal extraction, transformation, and loading of data. • Build analytics tools that utilize the data pipeline to provide actionable insights. • Work with stakeholders to assist with data-related technical issues.
🎯 Requirements
• Bachelor’s degree (B.S/B.A) from four-college or university and 2 to 5 years’ related experience and/or training; or equivalent combination of education and experience • Builds productive internal and external working relationships • Exercises judgment within defined procedures and practices to determine appropriate action • Proficiency in languages SAS, Python, Java, and MatLab • ETL (Extract, Transform, and Load) • Database - SQL and NoSQL • Data Warehousing – Hadoop, MapReduce, HIVE, Presto • Operating system: UNIX, Linux • Follows standard practice and procedures when analyzing situations or data • Programming language: Javascript, R • Basic Machine Learning
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