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Senior Data Engineer
Job summary
A data analytics company in Jakarta Selatan is seeking an experienced Data Engineer to enhance their Data Platform. The role involves analyzing requirements, designing data warehouses, and coaching fellow engineers. Candidates should have at least 4 years of Big Data experience, proficiency in Python and SQL, and familiarity with GCP and ETL processes.
Qualifications
- Minimum 4 years of experience in Big Data and real-time data pipelines.
- Skilled in Python programming with 5+ years of experience.
- Fluent in SQL for efficient querying with 5+ years of experience.
Responsibilities
- Analyze requirements to enhance the Data Platform.
- Design and develop reliable data warehouses.
- Coach fellow data engineers to improve their skills.
Skills
Tools
- Analyze the requirement to improve the Data Platform,
- Design, develop and ship the reliable data warehouses
- Actively work with the other Data Team to enable them to be able to discover the data asset that we have.
- Become a coach for your fellow data engineer that able to teach them.
- Giving suggestion for any data architecture for every element in organization
- Working experience of at least 4 years with exposure to Big Data, Real-time data pipelines, ETL processes and supporting tools/framework such as Airflow, spark etc
- Experience in working with any data platform that can handle discovery, observability, quality, and reliability
- Experienced in Cloud Service environment, especially GCP at least 3 years. Skill in other Cloud Services is a big plus.
- Experienced third party behavior analytics tools such as Firebase / Moengage / CleverTap etc
- Experienced in working with RDBMS & Non-RDBMS datastores.
- In conjunction with the requirement above, excellent skills in writing efficient querying language especially SQL with at least 5 years working experience
- Experienced in utilizing popular Visualization Tools such as Tableau / Holistics / Metabase etc
- Fluently in Python programming with at least 5 years working experience
- Understand how to analyze & utilize data in order to provide value/insights for company decision making.
- Working with data quality tools / framework for at least 1 years
- Great understanding about investment and business in general is a big plus
- Good Teamwork & Communication skills
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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