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Aryng is looking for a Senior 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 theimplementation 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, andengineers 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.
Functional capabilities: Requirement gathering, Client Mgt, team handling, Program delivery, Project Management (Project Estimation, Scope of Project, Agile methodology).
Requirements
- 5+ years of data engineering experience is a must.
- 2+ years implementing and managing data engineering solutions using Cloud solutions GCP/AWS/Azure or on-premise distributed servers 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
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
This role requires mandatory overlap hours with clients in the US from 8 am to 1 pm PST.
Benefits
- 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 Youtube link
