Deskripsi Pekerjaan
Join PERSOL as a Data Engineer and become a cornerstone of our data-driven transformation. You will architect, develop, and maintain robust data pipelines that enable seamless data integration across diverse sources. This role offers the opportunity to leverage cutting-edge technologies to build scalable solutions that drive business intelligence and analytics. You'll collaborate closely with data scientists and analysts to ensure data quality, accessibility, and security while optimizing infrastructure for performance. If you're passionate about turning complex data into strategic assets, this is your chance to make a tangible impact in a dynamic environment.
We're seeking an innovative thinker who thrives in solving data challenges. You'll work with cloud platforms, ETL tools, and big data technologies to transform raw data into actionable insights. Your contributions will directly influence our data strategy and operational efficiency. PERSOL offers a collaborative culture where continuous learning is encouraged, and your expertise will shape how we harness data for competitive advantage.
Tanggung Jawab
- Design, implement, and maintain scalable data pipelines and ETL processes
- Integrate and consolidate data from diverse sources (cloud, databases, APIs) into unified platforms
- Optimize data workflows for performance, reliability, and cost efficiency
- Develop and enforce data governance frameworks, quality checks, and monitoring systems
- Collaborate with stakeholders to translate business requirements into technical solutions
- Document data architectures and maintain comprehensive data dictionaries
- Stay current with emerging data technologies and industry best practices
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- 3+ years of experience in data engineering or similar data infrastructure roles
- Strong proficiency in SQL, Python, and at least one programming language
- Hands-on experience with ETL tools (e.g., Apache NiFi, Talend) and cloud platforms (AWS/GCP/Azure)
- Knowledge of data warehousing, big data technologies (Hadoop, Spark), and data modeling
- Experience with data orchestration tools (Airflow, Luigi) and containerization (Docker)
- Excellent problem-solving skills with attention to detail and data quality focus