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Description:
Aryng is looking for a Senior Data Engineer with experience in developing enterprise-class distributed data engineering solutions on the cloud.
The role involves 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 requires collaboration with a team of data scientists, business analysts, and engineers.
Key responsibilities include implementing asynchronous data ingestion, high volume stream data processing, and real-time data analytics using various Data Engineering Techniques.
The candidate will implement application components using Cloud technologies and infrastructure.
The role also involves defining data pipelines and identifying bottlenecks to enable the adoption of data management methodologies.
The candidate will implement 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 5 years of data engineering experience is required.
Exposure to AWS, with hands-on experience in AWS Glue, Python, and Redshift is preferred.
At least 2 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 2 years of experience in Python is required.
Strong proficiency in SQL and its concepts is necessary.
Experience with Big Query, Snowflake, Redshift, and DBT is required.
A strong understanding of data warehousing, data lake, and cloud concepts is essential.
Excellent communication and presentation skills are required.
The candidate must possess excellent problem-solving skills, be highly proactive, and self-driven.
A consulting background is considered a big plus.
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.
Benefits:
Employees will have direct client access.
The company offers flexible work hours.
Aryng is a rapidly growing company with an awesome work culture.
Employees will have the opportunity to learn from experts in the field.
The company promotes work-life balance.
A competitive salary is offered.
Employees will gain executive presence and engage in end-to-end problem solving.
There is a 50%+ tax benefit.
Aryng operates as a 100% remote company.
The company has a flat hierarchy.
There is an opportunity to become a thought leader within the organization.