Data Engineer – Snowflake & dbt

Posted 5 Days Ago
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Hiring Remotely in PL
Remote
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
The Data Engineer will design, build, and optimize scalable data pipelines using Snowflake and dbt, implement ETL/ELT processes, and collaborate with teams to deliver analytical solutions.
Summary Generated by Built In
Company Description

👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, ETL/ELT concepts, and dbt to design, build, and optimize scalable data pipelines. The ideal candidate will have advanced SQL skills, experience with cloud-based data platforms, and a strong understanding of data warehousing best practices.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake and dbt

  • Write and optimize advanced SQL queries for performance and reliability

  • Implement ETL/ELT processes to ingest and transform data from multiple sources

  • Develop Python scripts for automation, data processing, and API integrations

  • Build and manage data workflows using AWS services such as Glue, Lambda, S3, and CloudFormation

  • Design and maintain data warehouse models, schemas, and transformations

  • Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions

  • Implement and maintain version control, CI/CD pipelines, and best development practices

  • Monitor, troubleshoot, and optimize data pipelines for performance and cost efficiency

Qualifications

Required Skills

  • Strong hands-on experience with Snowflake

  • Advanced SQL proficiency

  • Strong understanding of ETL/ELT concepts and data pipelines

  • Hands-on experience with dbt

  • Solid knowledge of data warehousing concepts, including schema design and data modeling

  • Proficiency in Python for scripting and automation

Good to Have Skills

  • Experience with AWS services (Glue, Lambda, S3, CloudFormation)

  • Familiarity with Git and CI/CD practices

  • Understanding of APIs and CRUD operations

  • Exposure to cloud-native data architectures

Top Skills

Aws Cloudformation
Aws Glue
Aws Lambda
Aws S3
Dbt
Python
Snowflake
SQL
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The Company
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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