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Lead Data Software Engineer

Remote in Argentina,
& 6 others
Data Software Engineering
& 6 others

We are seeking a highly skilled Lead Data Software Engineer to join our remote team, working with the largest provider of mutual funds and the second-largest provider of exchange-traded funds in the world. The Client's customers have access to personalized financial advice, high-quality investments, retirement tools, and relevant market insights that help them build future for those they love. As a Lead Data Software Engineer, you will be responsible for developing the Data Pipeline for integration of systems into/out of Data Lake, as well as leading and mentoring a team of engineers to deliver high-quality solutions.

Responsibilities
  • Develop complex data pipelines and integrate systems into/out of Data Lake
  • Monitor and optimize data pipelines for performance and scalability
  • Develop and maintain dashboards for monitoring and reporting purposes
  • Create and maintain technical documentation for data pipelines, APIs, and other relevant systems
  • Lead and mentor a team of engineers, ensuring high-quality deliverables and fostering a collaborative environment
  • Collaborate with cross-functional teams to design and implement data solutions that meet business requirements
Requirements
  • At least 5 years of experience in Data Software Engineering, demonstrating expertise in building complex data pipelines and integrating systems
  • At least 1 year of leadership experience, showcasing your ability to mentor and guide a team of engineers
  • Proficiency in Python programming language, enabling you to develop Lambda functions and APIs
  • Experience in Amazon Web Services, including AWS Glue, AWS EMR, and S3 Bucket
  • Expertise in Query Builder/Executor using UI tools
  • Experience in Grafana for dashboard creation and monitoring
  • Fluent spoken and written English at an Upper-Intermediate level or higher, enabling effective communication
Nice to have
  • Experience in Batch Ingestion
  • Knowledge of Big Data technologies, such as Hadoop, Spark, and Hive
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