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Aryng is looking for a Data Engineer with experience in developing enterprise-class distributed data engineering solutions on the cloud. We are seeking an entrepreneurial and technology-proficient Data Engineer who is an expert in the implementation of a large-scale, highly efficient data platform, batch, and real-time pipelines and tools for Aryng clients. This role is based out of India. You will work closely with a team of highly qualified data scientists, business analysts, and
engineers to ensure we build effective solutions for our clients. Your biggest strength is creative and effective problem-solving.
Key Responsibilities:
- Should have implement asynchronous data ingestion, high volume stream data processing, and real-time data analytics using various Data Engineering Techniques.
- Implement application components using Cloud technologies and infrastructure.
- 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. (AWS is preferred)
Functional capabilities: Requirement gathering, Client Mgt, team handling, Program delivery, Project Management (Project Estimation, Scope of Project, Agile methodology).
- 3-5 years of data engineering experience is a must.
- 3+ years implementing and managing data engineering solutions using Cloud solutions GCP/AWS/Azure or on-premise distributed servers. AWS is preferred.
- 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.
- Strong understanding of data warehousing, data lake, and cloud concepts.
- Excellent communication and presentation skills
- Excellent problem-solving skills, highly proactive and self-driven
- Consulting background is a big plus.
- Must have a B.S. in computer science, software engineering, computer engineering, electrical engineering, or a related area of study
- Working knowledge of Airflow is preferred
Good to have:
- Experience in some of the following: Apache Beam, Hadoop, Airflow, Kafka,Spark
- Experience in Tableau, Looker, or other BI tools is preferred
Availability:
- Available to join immediately
This role requires mandatory overlap hours with clients in the US from 8 am to 1 pm PST.
- Direct Client Access
- 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
- Flat Hierarchy
- Opportunity to become a thought leader
Why Join Aryng: Click on the
