Deskripsi Pekerjaan
Join EMAPTA, a leading offshore staffing company, and become a key player in a global tech team driving data transformation initiatives. We are seeking a talented Data Engineer to build scalable cloud data systems and optimize enterprise pipelines. This hybrid role offers you the flexibility to work from our offices in Ortigas or Makati, combined with remote work, and enjoy a stable day shift schedule with weekends off.
As a Data Engineer, you will design and implement robust data architectures, ensuring high availability and performance. You'll collaborate with international stakeholders to deliver data solutions that power business decisions. You'll work with cutting-edge technologies and have the opportunity to shape the data strategy of a dynamic organization.
Why join us?
- Career growth in a global setting without leaving the Philippines.
- Collaborative and inclusive work environment.
- Competitive compensation and benefits package.
- Day shift with weekends off for an excellent work-life balance.
Apply now and take the next step in your data engineering career!
Tanggung Jawab
- Design, build, and maintain scalable data pipelines and ETL processes to support data analytics and business intelligence.
- Develop and optimize cloud-based data architectures (AWS, GCP, or Azure) for efficient storage and processing.
- Collaborate with data scientists, analysts, and global stakeholders to understand data requirements and deliver high-quality data solutions.
- Implement data quality and governance frameworks to ensure data accuracy, consistency, and security.
- Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks.
- Automate data workflows and deploy CI/CD practices for data infrastructure.
- Stay updated with emerging technologies and recommend improvements to data systems.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- At least 3-5 years of experience in data engineering or a related role.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong experience with SQL and relational/non-relational database systems.
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies like Apache Spark, Hadoop, or Kafka.
- Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and ETL tools (e.g., Airflow, dbt).
- Excellent problem-solving skills and ability to work in a collaborative team environment.