Middle Data Engineer

- Collaborate with cross- functional teams to translate business requirements into data- driven solutions
- Apply best practices and DevOps principles to implement agile data engineering processes.
- Design, build, and optimize data pipelines, platform services, and architecture using advanced algorithms and techniques
- Ensure data quality, integrity, security, and performance using statistical methods and data validation techniques.
- Deploy machine learning- based systems for abnormal detection and customer profiling.

An equivalent of this educational requirement in working experience is also acceptable
Bachelor’s degree (higher is preferred) in Computer Science, Data Analytics Engineering, Applied Mathematics, or any other technology- related field required with good grades.
- Advanced RDBMS and NoSQL database design knowledge (stored procedures, function, trigger...), and understanding of data modeling
- Skills in mastering one of the types of databases (Postgres, MongoDB, Oracle, AzureSQL, ...)
- Strong ability to reason about data structures and algorithms, complexity analysis with numerical & analytical skills, and problem- solving skills with engineering approaches
- At least 3 years of experience in data engineering or similar role experience
- Experience working with data crawling (client scripts, headless browsers,...), ETL, and data warehousing
- Good knowledge of architecting large- scale data infrastructure in cloud platforms (Redshift, BigQuery, Azure... and Data Factory), DevOps automation frameworks (GCP Cloud Composer, Airflow, Apache,...), and tools (Amazon Glue, Amazon Lambda, Fivetran, dbt,...)
- Experienced with data visualization and dashboarding (Tableau, Power BI, Data Looker,...) is a plus
- Proficient in Python (preferred), Java/Scala, or other programming languages
- Advanced knowledge of data systems and the ability to transform and shape large usable data sets
- Knowledge and experience with distributed data storage and processing, and big data technologies (Hadoop, Spark, Kafka, Hive, Elastic Search, HBase, Cassandra,...) is a plus

1 / Salary regime:
- Income: Nego, including allowances such as food, transportation, phone, laptop, ...
- Bonus: Quarterly, yearly business bonus, hot bonus, ESOP share bonus, bonus / gift / others account on special occasion (Holiday, New Year, birthday, ...).
- Paid leave from 12- 15 days / year.
- Many attractive offers to buy Coolmate products.
- Ensuring different regimes as prescribed by law.
2 / Career development:
- There is always an opportunity for you to take on experiments at work to learn new things and develop yourself.
- Various online and offline knowledge sharing sessions are provided by members inside/outside the Company.
- Binding advancement opportunities for all positions.
- Receive training or support training courses to improve professional/management capacity.
3 / Working environment:
- Promote a reading culture by sponsoring books and organizing book- related programs.
- Internal activities are organized in a variety of ways by week/month/quarter whether you work at home or directly at the office
- Coolmate&039;s flexible office towards open space is fully equipped with facilities including: Lunch area, snack shelf, relaxation area, entertainment (gaming, watching movies, reading...).

Cập nhật gần nhất lúc: 2024-04-18 17:40:43