Senior Data Integration Engineer

Remote in Chile,

Location-specific conditions & benefits*

Chile

We are looking for an experienced Senior Data Integration Engineer to join our team.

As a Senior Engineer with 3+ years of relevant production experience, you will play a key role in designing, developing, and implementing data integration solutions. You will leverage your expertise in ETL/ELT solutions, Azure Data Lake Storage, Databricks, Azure Data Factory, MySQL, PostgreSQL, MS SQL.SQL, Oracle, SQL, and Python to deliver high-quality and scalable data integration processes. If you thrive in a challenging environment and have a passion for data integration, we want to hear from you.

Responsibilities

Lead the design and development of data integration solutions, including ETL/ELT processes and data pipelines
Collaborate with stakeholders to gather and analyze data integration requirements
Provide technical guidance and mentorship to junior team members
Ensure data quality and consistency across integrated systems
Optimize data integration workflows for performance and scalability
Troubleshoot and resolve complex data integration issues
Stay up-to-date with industry trends and emerging technologies in data integration

Requirements

Bachelor's degree in Computer Science, Information Systems, or a related field
3+ years of relevant production experience in data integration
In-depth knowledge of ETL/ELT solutions and data integration best practices
Strong proficiency in Azure Data Lake Storage, Databricks, and Azure Data Factory
Extensive experience with MySQL, PostgreSQL, MS SQL.SQL, and Oracle
Expert-level skills in SQL and Python for data manipulation and transformation
Solid understanding of data modeling and database design principles
Proven track record of successfully delivering complex data integration projects
Strong problem-solving and analytical skills
Excellent communication and leadership abilities
B2+ English level

Nice to have

Experience with cloud-based data integration platforms such as AWS Glue or Google Cloud Dataflow
Familiarity with big data technologies like Hadoop and Spark
Knowledge of data warehousing concepts and tools
Understanding of data governance and data management practices
Ability to architect and implement real-time data integration solutions

Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn