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.
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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
- 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
- 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
- Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
- Medicina Prepaga (It covers the collaborator and direct family group)
- Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
- Discounts card
- English Training (English lessons, twice per week)
- Training Program (Access to multiple customized training plans according to the needs of each role within the company)
- Marriage bonus (The company doubles the allowance established by law that ANSES offers)
- Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
- External Agreements and Discounts
- Vacations: 14 calendar days a year