Info Loker Data Engineer - PT. SwiftMind Indonesia – Fresh Graduate Dipertimbangkan

At SwiftMind, we specialize in streamlining HR processes for dynamic and innovative companies, particularly within the IT sector. With a focus on startups and tech firms, our services are designed to not only fill the gap of an in-house HR department but also to enhance efficiency and strategic insight into HR management. Our offerings range from Talent Acquisition and Employee Life Cycle Administration to Legal and Compliance advisory, ensuring a comprehensive suite of services tailored to the unique needs of our clients. We pride ourselves on being not just a service provider, but a partner that understands and anticipates the needs of the fast-paced tech industry.

• Design, develop, and maintain scalable data pipelines and ETL processes to support analytics and business intelligence initiatives

• Implement and optimize data storage solutions, ensuring data quality, accessibility, and security

• Collaborate with Data Scientists, Analytics teams, and other stakeholders to understand data requirements and deliver effective solutions

• Build and maintain data warehouses and data lakes, ensuring efficient data organization and retrieval

• Write clean, maintainable, and well-documented code following team standards and best practices

• Participate in code reviews and provide constructive feedback to team members

• Monitor and optimize data pipeline performance and efficiency

• Create and maintain comprehensive documentation for data processes and architectures

• Implement data validation and quality control measures

• Contribute to technical discussions and architectural planning sessions

• Share knowledge with team members and participate in mentoring activities

Required Skills

• Bachelor's degree in Computer Science, Data Engineering, or related field
• Strong foundation in SQL and experience with relational databases (e.g., PostgreSQL, MySQL)
• Proficiency in at least one programming language (e.g., Python, Java, Scala)
• Experience with ETL tools and data pipeline development
• Understanding of data warehouse concepts and dimensional modeling
• Familiarity with version control systems (Git) and collaborative development workflows
• Basic knowledge of data security practices and compliance requirements
• Strong problem-solving skills and analytical thinking abilities
• Excellent communication skills in both technical and non-technical contexts
• Demonstrated interest in data engineering through projects or work experience

Preferred Skills

• Experience with big data technologies (e.g., BigQuery, Spark)
• Knowledge of stream processing frameworks (e.g., Kafka, RabbitMQ)
• Experience with data modeling and optimization techniques
• Knowledge of data governance principles
• Understanding of machine learning pipelines and requirements
• Experience with data visualization tools
• Understanding of CI/CD practices for data pipelines
• Knowledge of scripting languages for automation (e.g., Bash, Shell)
• Familiarity with Python web development (e.g., FastAPI, Flask) is a plus
• Proficiency with AI-powered coding assistants (e.g., GitHub Copilot, Cursor) is a plus
• Familiarity with data warehouse tools or relevant Apache frameworks (e.g., Airflow,Spark)