Data Engineer (Medan Location)

Key Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and design efficient data pipelines.
• Develop, implement, and maintain ETL (Extract, Transform and Load) processes to collect, clean, and store data from various sources.
• Optimize and enhance existing data pipelines for better performance, scalability, and reliability.
• Ensure data quality and integrity through data validation, monitoring, and error handling.
• Troubleshoot and resolve data-related issues in a timely manner.
• Collaborate with data scientists and analysts to provide them with the necessary data sets and tools to perform advanced analytics and reporting.
• Implement data security and privacy best practices to protect sensitive information.
• Stay updated with the latest trends and technologies in data engineering and contribute to the continuous improvement of our data infrastructure.

Skills & Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
• 3+ years of experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with data warehouse technologies (e.g., AWS Redshift, Google BigQuery, Snowflake).
• Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache NiFi).
• Knowledge of database systems (SQL and NoSQL) and data modeling.
• Familiarity with data integration and orchestration tools (e.g., Apache Airflow).
• Understanding of data security and compliance standards
• Excellent problem-solving and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong attention to detail and a commitment to delivering high-quality work.
• Experience with version control systems (e.g., Git).
• Certification in relevant data engineering technologies.