🌟 We're Hiring: Data Engineer! 🌟
We are seeking a skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have hands-on experience in designing, building, and maintaining data pipelines, ensuring seamless data flow for analytics and reporting. If you're passionate about data architecture and helping organizations make data-driven decisions, we want to hear from you!
📍 Location: Taguig, Philippines
⏰ Work Mode: Work from anywhere
💼 Role: Data Engineer
What You'll Do
🔧 Design, build, and maintain data pipelines and ETL/ELT processes using Python and SQL.
📈 Develop and optimize dimensional models (fact/dimension tables, data marts) for analytics.
🛠️ Implement data ingestion, transformation, and quality validation across varied data sources.
🔍 Leverage AWS services (S3, Glue, Lambda, Athena) to deliver scalable, serverless data solutions.
📊 Collaborate with stakeholders to define requirements, ensure governance, and support migrations (SQL Server → Aurora Postgres).
🤝 Create and maintain data documentation, dashboards (Power BI), and performance monitoring for reliability and compliance.
What We’re Looking For
✅ Proven ability to design and manage complex data pipelines within defined business domains.
✅ Strong Python (pandas, numpy) and advanced SQL expertise for data processing and optimization.
✅ Skilled in dimensional modeling and ETL/ELT best practices using AWS services (S3, Glue, Lambda, Athena).
✅ Experience with SQL Server, PostgreSQL, and Snowflake, including migrations and data warehousing.
✅ Hands-on with Power BI, data validation, and integration across varied data formats (JSON, CSV, Parquet, APIs).
✅Solid understanding of data governance, security, and compliance in data engineering environments.
Preferred Experience
- Background in regulated industries (healthcare, government) with HIPAA/FedRAMP familiarity.
- Exposure to real-time streaming (Kinesis, EventBridge) and IaC tools (CloudFormation, CDK, Terraform).
- Experience with metadata management, CI/CD, Git, and Agile data practices.
- Knowledge of advanced analytics and ML data preparation concepts.
Ready to make an impact? 🚀 Apply now and let’s grow together!
