305 King St W
Suite 1100
Kitchener, ON N2G 1B9
Canada
Senior Data Integration Engineer Remote
Senior Data Integration Engineer Description
We are currently seeking a Senior Data Integration Engineer to join our team.
The successful candidate will play a crucial role in designing and implementing Data Integration solutions, modeling databases, and contributing to building data platforms. You will work closely with product and engineering teams to understand data product requirements and evaluate new features and architecture to drive decisions.
If this resonates with you, this could be the perfect opportunity to join the EPAM team!
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
#LI-DNI#LI-AP13
Responsibilities
- Contribute to the design and implementation of Data Integration solutions
- Collaborate with product and engineering teams to understand data product requirements
- Evaluate new features and architecture to drive decisions
- Participate in code review and testing of solutions to ensure they meet specification and quality requirements
- Perform detailed analysis of business problems and technical environments
- Model databases and contribute to building data platforms
- Actively participate in code review and testing of solutions
- Ensure high-quality technical solutions are designed and implemented
Requirements
- 3+ years of relevant experience in Business and Data Analysis
- Strong SQL experience
- Proficiency in Python for Data purposes
- Hands-on experience in ETL/ELT processes
- Experience with Relational Databases and general exposure to Non-Relational Databases
- Familiarity with traditional and modern Data Warehousing solutions
- Strong knowledge of Cloud Solutions for Data environments, such as AWS, Azure, and GCP
- Understanding of CI/CD principles
- Practical experience with at least one database platform and one ETL technology
- Good understanding of dataflow orchestration, data replication, and data preparation tools
- Experience with data semantics, data modeling, and data-oriented programming languages
- Fluent English communication skills at a B2+ level
Nice to have
- Basic experience with Spark/PySpark
- Familiarity with orchestrator tools such as Airflow
- Experience with Databricks Snowflake
- Understanding of Data Platform concepts
- Knowledge of Data Governance and Data Security
By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.