Data Engineer

Position Summary

Role and Responsibilities

1. [Data analysis] Define and specify data analysis target and support modeling/verification/test/application.

2. [Data-based decision making] Research and support the insight to support decision making in the areas of business direction/market strategy/product strategy.

3. [Verification of decision effects] Support methods to verify the effect of decision on business (A/B Test, Simulator).

4. Language/Framework: Python, Spark or other parallel processing

5. Experience: Typically 1.5 to 3+ years of experience with Database / Data Warehouse / Data Analysis.

6. Technical skills: Proficiency in data, including: 

- DB/Cache Knowledge: MySQL/PostgreSQL, Athena, Redis, DynamoDB

- ETL Tools: Airflow / Glue 

- Analytic Tools:  Jupiter Notebook

7. Have Knowledge on AWS cloud platforms: S3, Athena, Glue, Redshift, ElasticSearch, DynamoDB

Skills and Qualifications

• Develops professional expertise by complying with company policies and procedures

• Works on problems of moderate scope where analyzing situations or data requires a review on various factors

• Exercises judgment within defined procedures and practices to determine appropriate action

• Normally receives general instructions on routine work with detailed instructions on new projects or assignments

• Have knowledge on Machine Learning

• Have knowledge on Data Warehouse

• Excellent communication abilities in English and Bahasa Indonesia

• Quick learner

• Willing to work as a team

• Willing to work 100% WFO

• Generally requires a bachelor's degree in Computer Science, Information System, Information Technology, Software Engineering and Electrical Engineering, Math, Physics, from Reputable Universities with a minimum 2 years related experience, or advanced degree without experience

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