Senior Data Engineer

1 day ago


Medan, Indonesia IT Consulting Company Full time

Key Responsibilities:

- Collaborate with cross-functional teams to understand data requirements and design efficient data pipelines.
- Develop, implement, and maintain ETL (Extract, Transform and Load) processes to collect, clean, and store data from various sources.
- Optimize and enhance existing data pipelines for better performance, scalability, and reliability.
- Ensure data quality and integrity through data validation, monitoring, and error handling.
- Troubleshoot and resolve data-related issues in a timely manner.
- Collaborate with data scientists and analysts to provide them with the necessary data sets and tools to perform advanced analytics and reporting.
- Implement data security and privacy best practices to protect sensitive information.
- Stay updated with the latest trends and technologies in data engineering and contribute to the continuous improvement of our data infrastructure.

Skills & Qualifications:

- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- 6+ years of experience in data engineering or a related role.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong experience with data warehouse technologies (e.g., AWS Redshift, Google BigQuery, Snowflake).
- Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache NiFi).
- Knowledge of database systems (SQL and NoSQL) and data modeling.

**Experience**:

- Data engineer: 5 years (required)
- Pyspark: 3 years (required)
- AWS: 3 years (required)


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