Ascendion
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Gurugram · On-site · 4-7 Yrs · Aug 20
Software Development · 10000+ Employees · Basking Ridge, US
Ascendion is a leading provider of AI-first software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have a presence in 12 countries and 40+ global offices across North America, Europe, and APAC. We are committed to building technology powered by Generative AI with an inclusive workforce, service to our communities, and a vibrant culture. For more information, please go to www.ascendion.com.
Hiring: Engineering
What employees say
+ Good WLB depending on the project
− Management is somewhat in a HIRE/FIRE mode from what I have seen. Once the project is over, you will be off-boarded. This is a recent change
More reviews on the company profile.
Interview experience · Entry Level Associate
Initially had coding tests or assessments to filter candidates based on skill-matching metrics. Technical Round 1: Resume-specific questions about programming languages, frameworks, tools, projects. Finally there was HR
Easy difficulty · Bengaluru · 122 reports
More interview insightsJob description
Overview
Ascendion is a leader in AI-Native platform driven software engineering company that underwrites outcomes, helping businesses innovate faster, smarter, and with greater impact.
Responsibilities
- We are looking for a DevOps Engineer to join our team. The ideal candidate brings 4+ years of hands-on experience in Data Engineering.
Qualifications
- Master your craft with leading training programs and hands-on experience
- About The Role
- We are looking for a DevOps Engineer to join our team. The ideal candidate brings 4+ years of hands-on experience in Data Engineering.
- Job Title: Sr. Data Engineer
- 4+ years of hands-on experience in Data Engineering.
- Strong SQL and database concepts.
- Proficiency in Python.
- Hands-on experience with AWS / Azure / GCP.
- Knowledge of Apache Spark / PySpark.
- Good understanding of data modeling, dimensional modeling, and data warehousing.
- Strong problem-solving and communication skills.
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