Data Engineer

Aryng is seeking a Data Engineer to join their team in developing enterprise-class distributed data engineering solutions on the cloud. This remote position, based in India, requires 3-5 years of experience in data engineering with strong expertise in cloud platforms (preferably AWS), Python, and SQL. The role involves building large-scale, highly efficient data platforms, implementing batch and real-time pipelines, and working closely with data scientists and business analysts.

The ideal candidate will have strong problem-solving abilities and experience with modern data tools like Big Query, Snowflake, Redshift, and DBT. They should be comfortable working directly with clients and have excellent communication skills. The position offers a unique opportunity to work with a rapidly growing company that provides a flexible work environment and strong professional development opportunities.

Key technical requirements include experience with cloud solutions (AWS/GCP/Azure), data warehousing concepts, and various big data technologies. The role demands overlap hours with US clients, making it suitable for someone who can work during US Pacific time zone hours. Benefits include a competitive salary, work-life balance, and the opportunity to work with industry experts in a flat organizational structure.

This position is perfect for a data professional who wants to grow their career in a consulting environment while working on cutting-edge data engineering solutions. The role offers both technical challenges and client-facing opportunities, making it an excellent choice for someone looking to develop both technical and business skills.