Description:

Aryng is looking for a Senior Data Engineer with experience in developing enterprise-class distributed data engineering solutions on the cloud.
The role requires expertise in implementing a large-scale, highly efficient data platform, batch, and real-time pipelines and tools for Aryng clients.
This position is based out of India and involves working closely with a team of highly qualified data scientists, business analysts, and engineers.
The candidate should have the ability to creatively and effectively solve problems.
Key responsibilities include implementing asynchronous data ingestion, high volume stream data processing, and real-time data analytics using various Data Engineering Techniques.
The role also involves implementing application components using Cloud technologies and infrastructure, defining data pipelines, and identifying bottlenecks to enable the adoption of data management methodologies.
The candidate will be responsible for implementing cutting-edge cloud platform solutions using the latest tools and platforms offered by GCP, AWS, and Azure.
Functional capabilities required include requirement gathering, client management, team handling, program delivery, project management, project estimation, scope of project, and Agile methodology.

Requirements:

A minimum of 8 years of data engineering experience is required.
At least 4 years of experience implementing and managing data engineering solutions using Cloud solutions such as GCP, AWS, Azure, or on-premise distributed servers.
The candidate should be comfortable working and interacting with clients.
A minimum of 4 years of experience in Python is required.
Strong proficiency in SQL and its concepts is essential.
Experience with Big Query, Snowflake, Redshift, and DBT is necessary.
A strong understanding of data warehousing, data lake, and cloud concepts is required.
Excellent communication and presentation skills are a must.
The candidate should possess excellent problem-solving skills, be highly proactive, and self-driven.
A consulting background is considered a significant advantage.
A B.S. in computer science, software engineering, computer engineering, electrical engineering, or a related area of study is mandatory.
Good to have experience in Apache Beam, Hadoop, Airflow, Kafka, Spark, and familiarity with Tableau, Looker, or other BI tools.

The position offers direct client access.
Flexible work hours are provided.
Aryng is a rapidly growing company with an awesome work culture.
Employees have the opportunity to learn from experts in the field.
A strong emphasis on work-life balance is maintained.
Competitive salary packages are offered.
Employees can develop executive presence and engage in end-to-end problem solving.
There is a 50%+ tax benefit available.
The company operates as a 100% remote organization.
A flat hierarchy is maintained within the company.
There is an opportunity to become a thought leader in the industry.