Deskripsi Pekerjaan
Fan Technology Integration is seeking a detail-oriented and analytical Cleansing Data Engineer to join our growing team in Bandung, Jawa Barat. As the bridge between raw information and business intelligence, you will ensure the accuracy and consistency of our data assets. We are looking for a professional who excels at identifying data anomalies and implementing robust cleansing strategies to improve data quality.
In this role, you will leverage your expertise in SQL, Python (pandas), and ETL tools to design and execute data transformation pipelines. You will work closely with our data science and analytics teams to deliver high-quality datasets that drive decision-making. If you have a passion for data integrity and a knack for solving complex data problems, we want to hear from you.
Responsibilities include developing automated cleansing scripts, optimizing database performance, and maintaining comprehensive documentation of data workflows. Join us in transforming raw data into valuable insights that power our technological innovations.
Tanggung Jawab
- Design and implement ETL (Extract, Transform, Load) processes to handle large-scale data cleansing tasks.
- Utilize SQL and Python (pandas) to identify, clean, and standardize inconsistent data across various sources.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
- Develop automated scripts and tools to reduce manual data entry errors and improve workflow efficiency.
- Monitor data quality metrics and troubleshoot issues in real-time to ensure system reliability.
- Maintain detailed documentation of data schemas, cleansing logic, and transformation rules.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Statistics, or a related field.
- Proven experience with SQL for querying and manipulating databases.
- Strong proficiency in Python, specifically the pandas library for data manipulation and analysis.
- Experience with ETL tools and data warehousing concepts (e.g., Snowflake, PostgreSQL, or equivalent).
- Excellent problem-solving skills and a keen eye for detail when auditing data accuracy.
- Ability to work independently and manage multiple data projects simultaneously.