Aryng is hiring a
Senior Data Engineer

Summary

Aryng is seeking a Senior Data Engineer with 5+ years of experience to develop enterprise-class distributed data engineering solutions on the cloud. The role involves working closely with a team and requires strong SQL skills, experience in Big Query, Snowflake, Redshift, DBT, excellent communication and problem-solving skills, and a B.S. in computer science or related area of study. Preferred requirements include experience with Apache Beam, Hadoop, Airflow, Kafka, Spark, Tableau, Looker, or other BI tools. The role offers flexible work hours, rapid growth opportunities, a flat hierarchy, work-life balance, competitive salary, executive presence, end-to-end problem solving, 50%+ tax benefit, and 100% remote work.

Requirements

• 5+ years of data engineering experience is a must
• 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

Responsibilities

• Implement asynchronous data ingestion, high volume stream data processing, and real-time data analytics using various Data Engineering Techniques
• 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

• 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
• Opportunity to become a thought leader