Data Engineer

What are you expected to do?

Data Engineering

• Build, maintain, and optimize robust ETL/ELT pipelines using Databricks.
• Contribute to the design and implementation of data lake and data warehouse architecture.
• Translate business requirements into reliable and scalable data solutions.
• Collaborate with the Lead Data Engineer on data modeling, pipeline design, and cloud infrastructure best practices.
• Implement monitoring, alerting, and logging for data pipelines to ensure data integrity and reliability.
• Participate in sprint planning, technical documentation, code reviews, and team collaboration rituals.

BI & Reporting Support

• Maintain and support dashboards and reports in ThoughtSpot.
• Assist stakeholders with ad hoc data queries and visualization needs.
• Ensure availability and accuracy of key business metrics during the analyst's leave period.
• Translate complex datasets into usable, decision-support insights.

You'll be a great fit if:

• You have at least 3 years of experience as a Data Engineer, ideally within an Australian company or supporting Australian clients.
• You have strong experience building and managing ETL or ELT pipelines in Databricks or similar platforms.
• You are proficient in Python and SQL for data processing, transformation, and analysis.
• You have a deep understanding of data modeling and data warehousing concepts.
• You have experience with BI tools such as ThoughtSpot, Power BI, Tableau, or Looker.
• You follow solid version control and collaboration practices using tools like Git.
• You can collaborate effectively with both technical and non-technical team members.
• You have strong communication and problem-solving skills.
• You are amenable to work Monday to Friday (7:00 AM to 4:00 PM Manila Time).

We will be absolutely thrilled if you also have the following:

• Exposure to DevOps practices such as CI/CD (e.g., Azure DevOps),infrastructure as code (e.g., Terraform).
• Experience working in a remote or distributed team environment.
• Experience working with cloud environments (AWS, Azure, or GCP).
• Familiarity with AWS services like S3, Lambda, EC2, SQS, and SNS.

Pay: Php100,000.00 - Php110,000.00 per month

Application Question(s):

• How much is your salary expectation?
• Availability for an interview (kindly provide 3 from Monday to Friday between 8AM to 3PM

Work Location: Remote