[Hiring] Software Developer @Bridgenext

Role Description

We are seeking a motivated Software Developer to help design, build, and maintain data pipelines and cloud-based data solutions on the Databricks platform. This role is a great fit for an engineer who has hands-on experience with Spark and Python and is looking to grow their expertise in modern data engineering practices, working under the guidance of senior engineers.

Key Responsibilities:

• Develop, test, and maintain data pipelines using Databricks and Spark under the guidance of senior engineers
• Write clean, efficient PySpark and SQL code for data ingestion, transformation, and loading tasks
• Build and maintain Databricks notebooks and jobs for routine data processing workflows
• Assist with implementing and following Delta Lake best practices for reliable data storage
• Participate in code reviews and incorporate feedback to improve code quality and performance
• Support the troubleshooting and resolution of data pipeline issues
• Help implement basic monitoring and logging for data pipelines
• Collaborate with data engineers, product managers, and other developers on assigned tasks
• Continuously learn and apply Databricks features such as Delta Live Tables and SQL Analytics

Qualifications

• 2-4 years of experience in software or data engineering, ideally including exposure to cloud-based environments
• Hands-on experience working with the Databricks platform, including notebooks, jobs, and basic Delta Lake concepts
• Working knowledge of Apache Spark fundamentals and PySpark
• Proficiency in Python and SQL
• Basic understanding of data warehousing concepts and common data storage formats (Parquet, JSON, CSV)
• Some exposure to a major cloud platform (AWS, Azure, or GCP)
• Experience with version control systems (Git)
• Willingness to learn CI/CD practices and workflow orchestration tools (e.g., Airflow, Databricks Workflows)
• Good problem-solving and analytical skills
• Bachelor's degree in Computer Science, Engineering, or a related quantitative field

Preferred Skills

• Databricks Certified Data Engineer Associate certification
• Exposure to streaming technologies such as Kafka or Kinesis
• Familiarity with Airflow or similar orchestration tools

Professional Skills

• Solid written, verbal, and presentation communication skills
• Strong team and individual player
• Maintains composure during all types of situations and is collaborative by nature
• High standards of professionalism, consistently producing high quality results
• Self-sufficient, independent, requiring little supervision or intervention
• Demonstrates flexibility and openness to bring creative solutions to address issues

Workplace

Remote role in LATAM, preference for candidates based in Argentina. This role supports US-based client work and requires working Eastern timezone hours.