Data Engineer

Full-Time

Hybrid

Posted 7 months ago

Required Technical Skills:

Experience working with cloud infrastructure services like Amazon Web Services and Google Cloud (Advanced Level on GCS/GBQ/CLI, Airflow, AWS Redshift/Athena/S3, Google AutoML Algorithms, Google Databricks, Cloud Functions and Project Security and Governance, Hadoop, Hive SQL
Strong command for On-premise/Cloud databases and SQL. Extract, Transform, and Load (ETL) data into On-premise/Cloud database.
Proficiency with Python, especially for data manipulation and analysis, and ability to build, maintain and deploy sequences of automated processes with these tools.
General data manipulation skills: read in data, process and clean it, transform and recode it, merge different data sets together, reformat data according to requirement, and similar etc.
Proficiency with Linus and configuring VM environments and optimizing cost.
Proficiency in operations used on Git/Bitbucket
Use APIs to push and pull data from various data systems and platforms

At least 2 years of experience as a Data Engineer
Demonstrated ability to learn new techniques and troubleshoot code independently
Demonstrated ability to write clear code that is well-documented and stored in a version control system
Demonstrated ability to work independently.
Excellent listening, interpersonal, communication and problem solving skills
Demonstrated ability to work effectively in teams, responsive communication with internal team and external client team
Effective time management skills, including demonstrated ability to manage and prioritize multiple tasks and projects in parallel.

Data Engineer