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Data Engineer

A data analytics and 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 developing enterprise-class distributed data engineering solutions on the cloud. This remote position, based in India, requires 3-5 years of experience in data engineering with strong expertise in cloud platforms, particularly AWS. The role involves working closely with data scientists, business analysts, and engineers to build effective client solutions.

The ideal candidate will have strong skills in Python, SQL, and various cloud technologies, with experience in data warehousing, data lakes, and modern data stack tools like BigQuery, Snowflake, and DBT. They should be comfortable with both batch and real-time data processing, and have experience with tools like Airflow and Kafka.

This position offers an exciting opportunity to work with a rapidly growing company that provides direct client access and maintains a flat hierarchy. The role comes with flexible work hours (though requiring US time zone overlap), competitive salary, and excellent work-life balance. The company culture emphasizes learning from experts and provides opportunities for professional growth and thought leadership.

The successful candidate will be responsible for implementing high-volume data processing solutions, defining and optimizing data pipelines, and working directly with clients. They must possess excellent communication skills and problem-solving abilities, as they'll be involved in both technical implementation and client interaction. This role is perfect for someone who wants to combine technical expertise with client-facing consulting work in a remote-first environment.

Last updated 16 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 including estimation, scope definition, and Agile methodology

Requirements For Data Engineer

Python
Kafka
  • 3-5 years of data engineering experience
  • 3+ years implementing and managing data engineering solutions using Cloud solutions (AWS preferred)
  • 2+ years experience in Python
  • Strong SQL knowledge
  • 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, or related field
  • Working knowledge of Airflow
  • Available to join immediately
  • Mandatory 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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