Data Engineer - Python, SQL & GCP (AU Media, Home-based)

Salary: P150,000 to P180,000 (Monthly Package)

Schedule: Monday – Friday (09:00 AM - 06:00 PM AEST)

What are we looking for?

Skills Required:

• Minimum of 3 years of experience in data engineering or a similar role, Python programming and SQL
• Strong understanding of data modeling, design, ETL processes, and data warehousing concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio) and proficiency in dashboard development and reporting.
• MUST have experience in Google Cloud Platform (GCP) stack including: Google Cloud Storage, BigQuery, Compute Engine, Cloud Composer, Cloud Function, DataFlow, Pub/Sub
• Kubernetes
• Apache Airflow
• DataOps
• Experience in developing, deploying, and maintaining end to end data pipelines
• Experience using IDE
• Comfortable with git or other software versioning systems
• Agile methodologies experience

Nice to Have:

• Familiarity with machine learning and AI concepts.
• Stakeholder management
• Professional Certifications: Google Cloud Professional Data Engineer certification
• Databricks
• ML Ops
• ML Flow
• Docker

What will you do?

The Data Engineer will be responsible for designing, developing, and managing our data infrastructure on Google Cloud Platform (GCP). This role involves working closely with data scientists, analysts, and other stakeholders to ensure the availability, reliability, and efficiency of our data systems. The ideal candidate will have a strong background in data engineering, cloud technologies, and a passion for media and entertainment.

• Design and Development: Design and implement scalable data pipelines, ETL processes, and data integration workflows using GCP tools and services.
• Data Management: Build and maintain data warehouses and data lakes on GCP, ensuring data integrity, accuracy, and security.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver actionable insights.
• Optimization: Optimize data pipelines and storage solutions for performance, cost, and reliability.
• Automation: Automate data processing tasks and workflows to improve efficiency and reduce manual effort.
• Monitoring and Troubleshooting: Monitor data systems, troubleshoot issues, and implement solutions to maintain system health and performance.
• Documentation: Document data architectures, processes, and best practices to ensure knowledge sharing and consistency.

Join the awesome team and enjoy these benefits & perks:

• Home-based
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA

JOIN CONNECTOS NOW!

ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

Our client is Australia’s largest independent publishing business with over 100 brands reaching 4.3 million Australians every month, with over 1000-5000 talented employees who are dedicated to serving their audiences, advertisers and customers. They have world-class print centers with an established client base across both newsprint and heat-set products. Their network includes 14 daily titles, such as The Canberra Times, Newcastle Herald, The Courier in Ballarat and The Examiner in Launceston.

#ConnectOS #ConnectOSCareers #TeamConnectOS

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age’, race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.