Deskripsi Pekerjaan
Are you a detail-oriented professional passionate about transforming raw data into actionable business insights? Nezda Technologies is seeking a talented Data Engineer to join our dynamic team in Clark Freeport Zone. In this role, you will play a pivotal part in designing, constructing, and maintaining our data infrastructure, ensuring our data flows seamlessly to support critical business decisions. We pride ourselves on providing a supportive environment where employees can thrive, complete with comprehensive benefits, continuous training, and flexible working arrangements to help you balance your professional and personal life.
As a Data Engineer at Nezda Technologies, you will be at the forefront of our technological evolution. You will work with cross-functional teams to understand data requirements and develop robust data pipelines that handle massive volumes of information efficiently. We are looking for someone who is not only technically proficient but also eager to learn and grow. If you are ready to advance your career in a role that offers flexibility and professional development, we want to hear from you.
Tanggung Jawab
- Design, build, and maintain scalable and efficient ETL (Extract, Transform, Load) and ELT data pipelines.
- Develop and optimize data warehouse architectures and data models to support business intelligence and analytics needs.
- Collaborate with data analysts and scientists to ensure data accuracy, consistency, and accessibility across the organization.
- Implement data quality checks and monitoring tools to maintain high standards of data hygiene.
- Ensure data security, compliance, and privacy standards are met across all data storage systems.
- Troubleshoot and resolve data infrastructure issues, ensuring minimal downtime for data-dependent applications.
- Stay up-to-date with the latest industry trends and technologies in data engineering to recommend improvements.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Statistics, or a related technical field.
- Proven experience as a Data Engineer or in a similar data-focused role.
- Strong proficiency in SQL and experience with query optimization.
- Experience with programming languages such as Python, Java, or Scala.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, or GCP).
- Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.