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Senior Data Engineer

EXTRA HOLIDAYS - FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

5+ years of data engineering experience, 2+ years cloud solutions experience (GCP/AWS/Azure), Proficient in Python and SQL, Experience with Big Query, Snowflake, Redshift, DBT, B.S. in computer science or related field.

Key responsabilities:

  • Implement asynchronous data ingestion and high volume stream data processing
  • Define data pipelines and identify bottlenecks
  • Implement cloud platform solutions using GCP, AWS, and Azure
  • Conduct requirement gathering and project management
  • Interacting with clients and team handling
Aryng logo
Aryng SME https://aryng.com/
11 - 50 Employees
See more Aryng offers

Job description

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Your missions

Welcome! You made it to the job description page!

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 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).

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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • consulting
  • team-management
  • Problem Solving
  • verbal-communication-skills

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