Job Opportunities in Indonesia
October 19, 2024
AlloFresh
Jakarta
FULL TIME
Data Engineer
We are a growing grocery app looking for an experienced Data Engineer to join our data team. As a key member of our team, you'll be responsible for building and maintaining our data infrastructure, optimizing our data processes, and ensuring data quality and accessibility across the organization.
Key Responsibilities:
1. Advanced Airflow Environment Development
1. Advanced Airflow Environment Development
- Build and maintain a robust Airflow environment to run scripts for creating datamarts and automating data logic
- Implement best practices including CI/CD, linter checking, secret key management, and Airflow variables
- Set up and manage Docker-based Airflow deployments for improved isolation and portability
- Configure and optimize Kubernetes executor for scalable and efficient task execution
- Implement advanced scheduling techniques, including dynamic task generation and cross-DAG dependencies
- Set up comprehensive monitoring and alerting for the Airflow environment
- Implement effective logging strategies for improved debuggability
- Ensure high availability and fault tolerance of the Airflow cluster
2. Data Pipeline Migration and Optimization
- Migrate existing data team scripts from the old Airflow environment to the new one
- Improve script quality and optimize performance during the migration process
- Implement data quality checks and SLAs for critical pipelines
3. Looker Governance and Optimization
- Manage Looker Enterprise implementation
- Develop and implement a strategy for tailored access to specific Looker explores for different teams
- Optimize Looker performance and ensure proper data governance
- Set up and maintain Look ML CI/CD pipelines
4. Web Scraping Projects
- Design and implement various web scraping projects to collect relevant external data
- Ensure the quality and reliability of scraped data
- Implement robust error handling and retry mechanisms for web scraping pipelines
5. General Data Engineering Tasks
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
- Design, build, and maintain scalable data pipelines and ETL processes
- Build and maintain cloud-based data warehouses (e.g., Big Query), including schema design, optimization, and management
- Implement data modeling best practices for efficient querying and analysis
- Ensure data quality, reliability, and accessibility across the organization
- Optimize data warehouse performance and cost-efficiency
- Develop and maintain data documentation and metadata management systems
- Bachelor's degree in Computer Science, Data Science, or a related field
- 3+ years of experience in data engineering or a similar role
- Strong proficiency in Python and SQL
- Extensive experience with Apache Airflow, including advanced features and best practices
- Experience with Docker and container orchestration, preferably Kubernetes
- Proven experience in building and maintaining cloud data warehouses (especially Big Query)
- Familiarity with Looker or similar BI tools
- Knowledge of web scraping techniques and tools
- Experience with cloud platforms (especially GCP)
- Strong problem-solving skills and attention to detail
- Excellent communication skills and ability to work in a team environment
"Hired Today.com and the Company will not ask for any form of payment during the recruitment process. Please report to us immediately, if you are invited for an interview and asked to make a payment with a sum of money."
We regret to inform you that this job opportunity is no longer available
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