Senior Data Engineer

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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 Senior 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.

Functional capabilities: Requirement gathering, Client Mgt, team handling, Program delivery, Project Management (Project Estimation, Scope of Project, Agile methodology).

• 8+ years of data engineering experience is a must.

• 4+ 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
• 4+ 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.

• 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

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