Data Engineer

This is dayshift and on-site position (4x a week on-site, once a week remote), with the opportunity to work in MOA PASAY office.
JOB RESPONSBILITIES:
 Develop, optimize, and maintain data pipelines and data architectures.
 Perform root cause analysis on internal and external data issues, providing solutions to address business questions and identify improvement opportunities.
 Build processes supporting data transformation, metadata management, dependency management, and workload orchestration.
 Collaborate with product teams, data analysts, and other stakeholders to ensure data quality and alignment with business requirements.
 Work with relational and NoSQL databases to develop solutions that manage large, complex datasets.
 Optimize ETL processes and work with data governance teams to ensure regulatory compliance.
 Monitor and improve data pipeline performance, scalability, and reliability.
 Troubleshoot and resolve data-related issues, ensuring timely and accurate data availability.
 Create and maintain documentation for data pipelines, architectures, and systems.
 Ensure data governance practices are followed, including data validation, data lineage, and quality checks.

QUALIFICATIONS:
 Must have a Bachelor’s degree in Computer Science, Statistics, Information Systems or related quantitative field.
 3+ years of experience in a Data Engineer or Data Operations role.
 Proficiency in SQL and experience with relational databases (e.g. Postgres, MySQL) and NoSQL databases
 Hands-on experience building and optimizing data pipelines, data workflows and data architectures.
 Experience working with cloud-based data platforms, particularly AWS services such as Redshift, EC2, RDS, and S3.
 Familiarity with data integration tools such as AWS Glue, Informatica, and Talend.
 Experience with scripting languages like Python, Java, etc. for data engineering tasks.
 Strong understanding of data governance, data quality, and data security principles.
 Excellent problem-solving, analytical skills, and the ability to interpret complex data sets.
 Excellent communication skills to collaborate with cross-functional teams and non-technical stakeholders.
 Strong project management and organizational skills, with the ability to manage multiple tasks effectively.
 Self-motivated, proactive, and comfortable working independently and in teams.
 Strong focus on data-driven decision-making and continuous improvement of data processes
 Willing to work onsite (4x a week onsite, once a week remote) from our client
office in Pasay on a day shift under an initial 6-month contract, with the possibility of an extension.
 Willing to start work immediately.

SALARY: P60,000 to P70, 000 depending on experience.