Offer summary

Qualifications:

5+ years of experience as a Data Engineer or in a similar role, Strong hands-on experience with Snowflake and complex queries, Proficiency in Scala, Java, or Python, Experience with Apache Spark and AWS, along with Infrastructure as Code using Terraform..

Key responsibilities:

Design, build, and maintain scalable data pipelines for real-time and batch processing

Implement CDC-based workflows for near real-time data synchronization

Develop infrastructure as code using Terraform for cloud automation

Collaborate with cross-functional teams to translate requirements into data solutions.

Job description

We’re searching for a Senior Data Engineer and turning data into insight at scale. You’ll work alongside a collaborative team and contribute to solutions that go live and make a difference.

Work at Exadel - Who We Are

We don’t just follow trends—we help define them. For 25+ years, Exadel has transformed global enterprises. Now, we’re leading the charge in AI-driven solutions that scale with impact. And it’s our people who make it happen—driven, collaborative, and always learning.

About Our Customer

The customer is an educational technology company based in Salt Lake City, Utah. It is the developer and publisher of a web-based learning management system and a massive open online course (MOOC) platform. Millions of students and teachers around the world use the customer’s products.

Requirements

5+ years of experience as a Data Engineer or in a similar data-focused engineering role
Strong hands-on experience with Snowflake for data warehousing, including complex queries and performance optimization
Proficiency in Scala, Java, or Python
Experience working with Apache Spark for distributed data processing
Hands-on experience with Amazon Web Services (AWS)
Experience with Infrastructure as Code (IaC), particularly using Terraform
Understanding of Change Data Capture (CDC) architectures and tools such as Debezium
Familiarity with Kafka-based streaming data pipelines
Strong problem-solving skills in distributed systems environments
Comfortable working in agile development teams
Effective communication skills with both technical and non-technical stakeholders

Nice to Have

Experience with orchestration tools such as Apache Airflow or AWS Step Functions
Familiarity with CI/CD pipelines in cloud-native environments
Ability to write clean, maintainable, and well-documented code following engineering best practices

English level

Upper Intermediate +

Responsibilities

Design, build, and maintain scalable data pipelines that support real-time and batch data processing
Implement and optimize CDC-based workflows using Debezium for near real-time data synchronization across systems
Develop and manage infrastructure as code using Terraform to automate cloud deployments
Ensure the efficient ingestion, transformation, and storage of data in Snowflake
Monitor and troubleshoot data workflows to ensure high performance and reliability
Collaborate with cross-functional teams, including data scientists, architects, and business stakeholders, to translate requirements into robust data solutions
Combine data from multiple sources and ensure its quality, consistency, and accuracy
Apply best practices in data modeling, versioning, and schema management
Contribute to the evolution of data architecture and engineering standards
Maintain clear documentation of data processes, pipelines, and infrastructure configurations

Advantages of Working with Exadel

Exadel is a global company, and benefits can vary depending on your location and contract type. Your recruiter will provide specific information about the benefits available to you.