Junior Data Engineer – Part Time

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Utilize Python, Spark, SQL, and Databricks to process customer data.

• Collaborate with Data Analysts to address data inquiries and automate repetitive tasks.

• Ensure the accuracy of data processes and results.

• Optimize the performance of extensive batch processing and streaming pipelines.

• Develop dashboards and alerts for monitoring internal processes and data using Databricks, Grafana, and Tableau.

• Undertake additional related responsibilities as assigned.

⛳️ Requirements

• Over 1 year of industry experience in designing, coding, validating, and managing large-scale data pipelines and architectures.

• More than 1 year of professional experience with Spark, Python, and SQL.

• Strong ability to work collaboratively in a dynamic and fast-paced environment.

• Familiarity with NoSQL, Document DB, key-value, columnar, and blob data storage methods.

• Experience with various vendor solutions for repository patterns and selecting appropriate options for data architectures and workloads.

• Capacity to work alongside client and service engineering teams on data architecture initiatives.

• Operational experience with large-scale data warehouses and/or data lakes.

• Proficiency with distributed processing frameworks for batch data handling.

• Capability to create well-structured, documented, comprehensible, and maintainable data products.

• Availability of 20 hours per week.

• Preferred: knowledge of data science and pipelines that support data scientists.

• Preferred: experience with ad-hoc analysis and data visualization using Excel, Power BI, and Tableau.

• Preferred: familiarity with common data engineering scripting languages.

🏝️ Benefits

• Competitive salary range of $15–$20 per hour.

• Flexible remote work options.

• Contract of record facilitated through Deel.