Remote Data Engineer

Summary

Join Aryng as a Data Engineer and contribute to developing enterprise-class distributed data engineering solutions on the cloud, working closely with a team of experts to build effective solutions for clients.

Requirements

• 4+ years of data engineering experience is a must
• Exposure to AWS, hands on AWS Glue, Python Redshift is preferred
• 2+ years implementing and managing data engineering solutions using Cloud solutions GCP/AWS/Azure or on-premise distributed servers
• Should be comfortable working and interacting with clients
• 2+ years’ experience in Python
• Must be strong in SQL and its concepts
• Experience in Big Query, Snowflake, Redshift, DBT
• Strong understanding of data warehousing, data lake, and cloud concepts
• Excellent communication and presentation skills
• Excellent problem-solving skills, highly proactive and self-driven
• Consulting background is a big plus
• Must have a B.S. in computer science, software engineering, computer engineering, electrical engineering, or a related area of study

Responsibilities

• Implement asynchronous data ingestion, high volume stream data processing, and real-time data analytics using various Data Engineering Techniques
• Implement application components using Cloud technologies and infrastructure
• Assist in defining the data pipelines and able to identify bottlenecks to enable the adoption of data management methodologies
• Implementing cutting edge cloud platform solutions using the latest tools and platforms offered by GCP, AWS, and Azure

Preferred Qualifications

• Experience in some of the following: Apache Beam, Hadoop, Airflow, Kafka,Spark
• Experience in Tableau, Looker, or other BI tools is preferred

Benefits

• Direct Client Access
• Flexible work hours
• Rapidly Growing Company
• Awesome work culture
• Learn From Experts
• Work-life Balance
• Competitive Salary
• Executive Presence
• End to End Problem Solving
• 50%+ Tax Benefit
• 100% Remote company
• Flat Hierarchy
• Opportunity to become a thought leader