Urbansoft™
Artificial Intelligence • Cybersecurity • SaaS
Urbansoft™ is a company that spearheads the digital transformation journey by developing and building mission-critical software solutions tailored to meet the specific needs of its clients. They blend human insight with cutting-edge technology to create personalized solutions in areas such as Artificial Intelligence, Blockchain, and Cybersecurity. With expertise in data engineering, web and mobile development, and robotic process automation, Urbansoft™ focuses on delivering innovative applications that enhance operational efficiencies and drive business success.
11 - 50 employees
Founded 2014
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
AWS Big Data Engineer
Job not on LinkedIn
March 14
Urbansoft™
Artificial Intelligence • Cybersecurity • SaaS
Urbansoft™ is a company that spearheads the digital transformation journey by developing and building mission-critical software solutions tailored to meet the specific needs of its clients. They blend human insight with cutting-edge technology to create personalized solutions in areas such as Artificial Intelligence, Blockchain, and Cybersecurity. With expertise in data engineering, web and mobile development, and robotic process automation, Urbansoft™ focuses on delivering innovative applications that enhance operational efficiencies and drive business success.
11 - 50 employees
Founded 2014
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
📋 Description
• We are seeking a skilled AWS Data Engineer to join our dynamic team. • The ideal candidate will have a strong background in data engineering, with specific expertise in AWS technologies. • You will be responsible for designing, developing, and maintaining our data infrastructure, ensuring efficient data processing and storage solutions.
🎯 Requirements
• Python: Proficient in writing Python code for data processing and automation. • Spark: Strong understanding of Apache Spark and experience with PySpark. • AWS Glue: In-depth knowledge of AWS Glue, including architecture and ETL processes. • SQL: Advanced skills in SQL, with the ability to write complex queries. • AWS Athena: Experience with AWS Athena for querying large datasets. • Redshift: Familiarity with AWS Redshift, including data warehousing concepts and usage. • Data Warehousing: Solid understanding of data warehousing principles and best practices. • Experience with other AWS services such as S3, Lambda, and CloudFormation. • Knowledge of data modeling and schema design. • Familiarity with data governance and security best practices. • Experience with version control systems like Git. • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills.
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