Deskripsi Pekerjaan
Are you a seasoned Data Engineer looking to drive data architecture strategies for a dynamic organization? We are seeking a highly skilled Senior Data Engineer to join our team in Taguig City. In this role, you will be the backbone of our data ecosystem, designing and maintaining robust pipelines that transform raw data into actionable business intelligence.
You will work closely with data scientists, analysts, and stakeholders to ensure high data quality, scalability, and performance. The ideal candidate has deep expertise in modern cloud data stacks, distributed computing, and data modeling. If you are passionate about building scalable infrastructure and optimizing complex data workflows, we invite you to apply.
Tanggung Jawab
- Design, build, and maintain scalable data pipelines and ETL processes to support business requirements.
- Architect robust data warehouses and data lakes using cloud-native technologies (e.g., AWS, GCP, or Azure).
- Optimize database performance and query efficiency to support high-volume data processing.
- Collaborate with cross-functional teams to integrate disparate data sources into a unified analytical environment.
- Implement data quality frameworks, monitoring, and automated alerting systems to ensure data integrity.
- Mentor junior data engineers and champion best practices in code reviews and software development lifecycles.
- Evaluate and implement new data technologies to enhance our overall data engineering stack.
Kualifikasi
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related technical field.
- 5+ years of professional experience in data engineering, backend development, or software engineering.
- Advanced proficiency in SQL and programming languages such as Python or Scala.
- Hands-on experience with big data frameworks like Apache Spark, Flink, or Kafka.
- Proven track record working with cloud platforms (AWS Redshift/Glue, Google BigQuery, or Azure Synapse).
- Strong understanding of data modeling, schema design, and warehousing concepts (Star/Snowflake schemas).
- Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster.
- Excellent analytical, problem-solving, and communication skills.