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Junior Data Engineer

Sinch is a global cloud communications platform provider enabling businesses to reach customers across multiple channels.
Data
Entry-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
Enterprise SaaS

Job Description

Sinch is seeking a Junior Data Engineer to join their Data & Transformation team in São Paulo, Brazil. This role offers a hybrid work environment and is perfect for someone starting their career in data engineering. The position focuses on building and maintaining data pipelines, working with both data lakes and data warehouses, and implementing ETL/ELT processes.

The ideal candidate should have a strong foundation in software development, particularly with Python and SQL, and be familiar with modern data engineering tools like Databricks, Airflow, and cloud platforms (AWS/GCP). You'll be working with various data architectures including Data Lake, Data Mesh, and Data Fabric, while gaining hands-on experience with real-time data processing and analytics.

This role provides an excellent opportunity to work with cutting-edge data technologies while developing your skills in a supportive environment. You'll interact with both technical and business stakeholders, making strong communication skills essential. The position requires fluent English proficiency and a commitment to continuous learning and staying updated with industry trends.

Sinch is a global leader in cloud communications, providing a platform that enables businesses to reach their customers through multiple channels. As a Junior Data Engineer, you'll be part of a team that handles large-scale data operations and helps drive the company's data-driven decision-making processes.

Last updated 8 days ago

Requirements For Junior Data Engineer

Python
  • Solid knowledge in software development (e.g.: Python, Spark, Git, CI/CD, Docker)
  • Experience with SQL to query data and build ETL/ELTs
  • Experience working with data lake and data warehouse
  • Experience in data pipeline creation/orchestration tools (e.g.: Airflow, Dagster)
  • Experience using Databricks
  • Cloud experience (e.g.: AWS or GCP)
  • Advanced English
  • Knowledge of different data architectures (e.g.: Data Lake, Data Mesh, Data Fabric)
  • Experience working with Data Warehouse tools (e.g. BigQuery, Snowflake)
  • Experience with real-time data processing and analytics
  • Good communication skills to deal with stakeholders from technical areas and business areas
  • Fluent English
  • Demonstrated commitment to staying updated with industry trends and adopting new technologies

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