Deskripsi Pekerjaan
Are you a passionate data professional ready to make a significant impact at Lotte Data Communication Indonesia? We are looking for an innovative Data Engineer to join our growing team in Banten. In this role, you will be the backbone of our data infrastructure, architecting and maintaining scalable data pipelines that empower our business with actionable insights.
As a Data Engineer, you will work at the intersection of software engineering and data science. You will bridge the gap between raw data collection and analytical consumption, ensuring that our data ecosystem is robust, efficient, and secure. If you thrive in an environment that values modern tech stacks and you enjoy solving complex data challenges, this is the perfect opportunity for you to advance your career.
Join us in building the future of data-driven decision-making within a global organization.
Tanggung Jawab
- Design, construct, and maintain high-performance data pipelines and ETL processes.
- Collaborate with data scientists and analysts to understand data requirements and delivery formats.
- Optimize database performance, indexing, and query execution for large-scale datasets.
- Implement data quality frameworks to ensure accuracy, reliability, and consistency across platforms.
- Automate manual data tasks and workflows to improve operational efficiency.
- Ensure data security and compliance with organizational standards and industry best practices.
- Stay up-to-date with emerging data technologies and cloud computing trends to drive continuous improvement.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, or a related quantitative field.
- Minimum of 2-4 years of professional experience in data engineering or backend development.
- Proficiency in programming languages such as Python, Scala, or Java.
- Advanced knowledge of SQL and experience working with relational (PostgreSQL, MySQL) and NoSQL databases.
- Experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka).
- Hands-on experience with cloud data platforms (AWS, Azure, or Google Cloud Platform).
- Strong understanding of data warehousing concepts and data modeling techniques.
- Excellent analytical, problem-solving, and communication skills.