Boomi • India

Principal Data Engineer

Job Description

About Boomi and What Makes Us Special

Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.

Principal Data Engineer

At Boomi, our vision is to harness the power of metadata by capturing the relationships and behaviors of applications and their interactions to re-imagine and reinvent the customer experience. As a Data Engineer, you will be expected to understand and investigate state-of-the-art techniques for handling large-scale data. You will design, develop, deploy and maintain data ingestion and transformation pipelines. You will develop tools for data scientists and assist with the development of solutions for business problems and product enhancements. You will have an opportunity to work with experienced engineers, scientists, and experts on challenging problems. Our ideal candidate should demonstrate how they have applied analytic disciplines in addition to having a development background. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, with a proven ability to drive business results with data-based insight. A good level of data modeling understanding is expected. Knowledge about privacy, data masking is a
plus.


Team Environment:

Our team is collaborative, enjoys working with each other, and we are eager to help each other succeed. We are self-starters with technical curiosity and have a willingness to learn. We are open to sharing new ideas and improvements. We work on cutting-edge technologies to provide the best experience for the customer. We take pride in our work. If this sounds like you, then you may be a good candidate for our team!

Responsibilities/ Requirements:

  • Design, develop, and maintain ingestion mechanisms and governance for data lakes

  • Expert in managing data repositories for data warehousing, data lakes, data marts, OLAP cubes, etc

  • Expert in managing cloud-based data architecture services and frameworks, preferably on AWS and/or Snowflake

  • Research and stay up-to-date on the latest technology developments through continuous learning. Be solution-based and a champion for promising new methods.

  • Collaborate and strategize on opportunities, cross-training, and knowledge transfer.

  • Demonstrated history of driving and delivering analytics models and solutions.

  • Strong knowledge of Machine learning fundamentals, data mining, and statistical predictive modeling. Demonstrate your extensive experience applying these methods to real-world challenges

  • Able to communicate effectively with Data Scientists, AI/ML engineers, quality engineers, and management

  • Strong problem-solving skills with an emphasis on product development.

  • Strong skills in Python, SQL

  • Hands on experience using various AWS services and technologies

  • Experience in handling large scale data

  • Working knowledge of spark

Desirable Requirements

  • Bachelor's degree, preferably in Analytics, Computer Science, Statistics, or a related major with 10+ years of relevant subject area experience

  • Experience working with and creating data architectures.

  • Vast knowledge of Machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python or Scala), in addition to open-source Machine learning and analytics packages to generate deliverable modules and prototype demonstrations of your work.

  • Previous experience with Big data technologies, ETL, ELT, statistics and causal inference, Deep Learning, modeling, and simulation.

  • The breadth of skills and experience in Machine learning (diverse types of data and sources, different types of learning models, diverse learning settings).

  • Ability and inclination to work in multi-disciplinary environments, and a passion for ideas realized in practice.

  • Strong analytical, written, and verbal communication skills.

Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities.

All employment decisions are based on business needs, job requirements, and individual qualifications.

Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.

Company benefits

Adoption leave
Work from home allowance
Open to part time work for some roles
Open to compressed hours
Work from anywhere scheme
Work from home stipend
Enhanced WFH tools
Flexible working week
Compassionate leave
Dental coverage
Health insurance
Mental health platform access
Enhanced sick pay
Travel insurance
Dog friendly co-working space
Buy or sell annual leave
Accrued annual leave
Time off in-lieu
Bank holiday swaps
Enhanced maternity leave
Shared parental leave
Enhanced paternity leave
Cycle to work scheme
Faith rooms
Pension match/increase
Annual bonus
Life assurance
Life insurance
Gym membership
Location
92%
Employees are very happy with their working location freedom
Hours
86%
Employees are very happy with the flexibility in the hours they work
Benefits
73%
Employees are largely happy with the benefits their company offers
Work-life balance
74%
Employees feel that they can switch off quite easily from work
Role modelling
83%
Employees feel that flexible working is part of the culture
Autonomy
85%
Employees feel they have complete autonomy over getting their work done

Working at Boomi

Company employees

1,500

Office locations

Pennsylvania, Exeter, Singapore, India, Vancouver, Barcelona

Hiring Countries

Australia

Canada

India

Singapore

Spain

United Kingdom

United States

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024
SaaS & Software

SaaS & Software

Industry awards 2023