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Data Engineer

A data analytics consulting company providing enterprise-class distributed data engineering solutions on the cloud.
Data
Mid-Level Software Engineer
Remote
3+ years of experience
Enterprise SaaS

Description For Data Engineer

Aryng is seeking an entrepreneurial and technology-proficient Data Engineer to join their team in India. The role focuses on implementing enterprise-class distributed data engineering solutions on the cloud. The ideal candidate will have 3-5 years of experience in data engineering, with strong expertise in Python, SQL, and cloud platforms (preferably AWS). They will work closely with data scientists, business analysts, and engineers to build effective solutions for clients.

The position involves developing and managing data pipelines, implementing asynchronous data ingestion, and handling high-volume stream data processing. The role requires strong problem-solving abilities and excellent communication skills, as direct client interaction is a key component. The successful candidate will work with modern data technologies including Big Query, Snowflake, Redshift, and DBT.

This is a fully remote position with a flexible work schedule, though it requires overlap hours with US clients. The company offers an attractive benefits package including competitive salary, work-life balance, and opportunities for professional growth. Aryng provides a flat hierarchy structure and the chance to work directly with clients while learning from industry experts.

The ideal candidate should have a bachelor's degree in computer science or related field, strong technical skills, and consulting experience is considered a plus. This role offers the opportunity to work on cutting-edge cloud platform solutions while being part of a rapidly growing company with an awesome work culture.

Last updated 23 days ago

Responsibilities For Data Engineer

  • Implement asynchronous data ingestion, high volume stream data processing, and real-time data analytics
  • Implement application components using Cloud technologies and infrastructure
  • Define data pipelines and identify bottlenecks
  • Implement cloud platform solutions using GCP, AWS, and Azure
  • Requirement gathering, Client Management, team handling, Program delivery, Project Management

Requirements For Data Engineer

Python
Kafka
  • 3-5 years of data engineering experience
  • 3+ years implementing and managing data engineering solutions using Cloud solutions GCP/AWS/Azure
  • 2+ years experience in Python
  • 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
  • B.S. in computer science, software engineering, computer engineering, electrical engineering, or related field
  • Working knowledge of Airflow
  • Must have overlap hours with US clients from 8 am to 1 pm PST

Benefits For Data Engineer

  • 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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