Senior Data Engineer

Aryng is seeking a Senior Data Engineer with 8+ years of experience in developing enterprise-class distributed data engineering solutions on the cloud. The ideal candidate should have expertise in implementing large-scale, highly efficient data platforms, batch and real-time pipelines, and tools for Aryng clients. This role is based out of India and requires working closely with a team of data scientists, business analysts, and engineers.

Key Responsibilities:

• Implement asynchronous data ingestion, high volume stream data processing, and real-time data analytics
• Implement application components using Cloud technologies and infrastructure
• Define data pipelines and identify bottlenecks
• Implement cloud platform solutions using tools from GCP, AWS, and Azure

Requirements:

• 8+ years of data engineering experience
• 4+ years implementing and managing data engineering solutions using Cloud solutions (GCP/AWS/Azure) or on-premise distributed servers
• 4+ years' experience in Python
• Strong SQL skills
• Experience with Big Query, Snowflake, Redshift, DBT
• Strong understanding of data warehousing, data lake, and cloud concepts
• Excellent communication, presentation, and problem-solving skills
• B.S. in computer science, software engineering, or related field

Preferred Skills:

• Experience with Apache Beam, Hadoop, Airflow, Kafka, Spark
• Experience with Tableau, Looker, or other BI tools

This role requires mandatory overlap hours with clients in the US from 8 am to 1 pm PST. Join Aryng for direct client access, flexible work hours, a rapidly growing company, awesome work culture, and the opportunity to learn from experts while maintaining work-life balance.