3 days ago
Costa Rica (city not specified)Intern
Responsibilities
- Assist in designing, developing, maintaining, and optimizing ETL/ELT data pipelines.
- Write and optimize SQL queries and develop Python scripts for data processing, automation, and integration.
- Work with structured and semi-structured datasets from multiple sources.
- Support data cleaning, validation, transformation, and quality assurance.
- Assist in managing relational databases and data warehouses and gain experience with AWS cloud services.
- Collaborate with data engineers, analysts, and software developers on data-related projects.
- Monitor pipelines, help troubleshoot performance issues, and maintain technical documentation.
Requirements
- Currently pursuing a bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field, with anticipated graduation in June or July 2027.
- Strong understanding of SQL and relational database concepts.
- Basic to intermediate Python programming knowledge.
- Basic understanding of data modeling and data transformation.
- Strong analytical, problem-solving, communication, and teamwork skills.
- Willingness to learn new technologies and tools.
- 0–1 years of professional experience; academic projects or internships involving Python, SQL, databases, or data analytics are advantageous.
- Familiarity with ETL processes, data warehousing, Redshift, MySQL, PostgreSQL, SQL Server, PySpark, AWS, AWS Glue, Snowflake, Git, GitHub, or Databricks is preferred but not required.
Benefits
- Monday–Friday schedule from 9 AM to 6 PM.
- Hands-on experience with real-world data engineering projects while collaborating with experienced professionals.
- Opportunity to develop skills in data engineering, cloud computing, database management, and scalable data solutions.
Tech Stack
Categories
Data Engineering
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.