Data Engineer

2 weeks ago

Denpasar, Indonesia TYRADS Full time

### **Job Summary**:
**Location**: Bali, Indonesia (in office)

## **Key Responsibilities**:
**Design and Develop Data Pipelines**:

- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional and non-functional business requirements.

**Data Integration and ETL**:

- Build the infrastructure required for the optimal extraction, transformation, and loading (ETL) of data from various data sources.
- Develop processes and tools to monitor and analyze data pipeline performance.

**Database Management**:

- Work with data and analytics experts to strive for greater functionality in our data systems.
- Implement, maintain, and optimize database solutions, including both SQL and NoSQL databases.

**Collaboration and Communication**:

- Collaborate with data scientists, business analysts, and other stakeholders to understand data needs and provide technical solutions.
- Communicate project progress, issues, and solutions effectively to the team and management.

**Data Quality and Governance**:

- Ensure data quality and data governance standards are maintained.
- Implement data security measures and compliance policies.

## **Qualifications**:
**Education and Experience**:

- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role.

**Technical Skills**:

- Proficient in SQL and experienced with relational databases.
- Experience with big data tools such as Hadoop, Spark, or Kafka.
- Knowledge of data pipeline and workflow management tools like Airflow or Luigi.
- Experience with cloud services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

**Programming Skills**:

- Strong programming skills in Python, Java, Scala, or similar languages.

**Soft Skills**:

- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Ability to work in a fast-paced, dynamic environment.

**Preferred Qualifications**:

- Experience with machine learning and data mining techniques.
- Familiarity with data visualization tools such as Tableau or Power BI.
- Knowledge of data privacy regulations and best practices.

## **Why Join Us?**

This is an exciting opportunity to contribute to the development and optimization of our data infrastructure, working with a team of talented professionals in a fast-paced and innovative environment. If you are passionate about data and have the technical skills to match, we encourage you to apply.

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