Deskripsi Pekerjaan
We are seeking a skilled Data Engineer to join Sharing Vision Indonesia. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and architectures. As a Data Engineer, you will bridge the gap between raw data and actionable business insights, ensuring our data infrastructure is scalable, secure, and high-performance.
You will work closely with data analysts and scientists to understand data requirements and implement solutions that drive business growth. The ideal candidate is passionate about data integrity and possesses strong technical skills in modern data engineering tools and cloud platforms.
Key aspects of the role include managing large volumes of data, ensuring data quality, and building data models that support business intelligence initiatives. You will be instrumental in automating data workflows and optimizing query performance to support real-time decision-making processes.
Tanggung Jawab
- Design and implement scalable data pipelines and ETL processes to extract, transform, and load data from various sources.
- Develop and optimize SQL queries and database schemas to ensure high performance and data integrity.
- Collaborate with cross-functional teams to understand data needs and define data architecture standards.
- Monitor and troubleshoot data pipelines to ensure 99.9% uptime and data accuracy.
- Implement data security best practices and data governance policies.
- Stay updated with emerging technologies in big data, cloud computing, and machine learning.
Kualifikasi
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 1-2 years of professional experience as a Data Engineer or in a similar data-related role.
- Strong proficiency in SQL and experience with at least one programming language (Python, Java, or Scala).
- Familiarity with data warehousing technologies (e.g., Snowflake, BigQuery, Amazon Redshift) and ETL tools (e.g., Airflow, Talend, Informatica).
- Understanding of data modeling, batch processing, and real-time streaming concepts.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.