Attractive Job Opening for AWS Python Data Engineer in Singapore

Mandatory skills.

Very Strong Proficiency:
Python: Extensive experience in Python for data manipulation, scripting, and building data applications.
PySpark: Deep expertise in developing and optimizing large-scale data transformations using PySpark.
SQL: Advanced SQL skills, including complex query writing, performance tuning, and database design.
AWS: Hands-on experience designing, deploying, and managing data solutions on various AWS services (S3, EMR, Glue, Lambda etc).
Solid understanding of data warehousing concepts, ETL/ELT principles, and data pipeline best practices.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a collaborative team.

Desired skills.

Airflow: Experience with Airflow for orchestrating and managing data workflows.
Snowflake: Familiarity with Snowflake for cloud data warehousing and analytical processing.
Bitbucket (or Git): Proficient in using version control systems for collaborative development.

Domain.

Data Engineering

Mode of Interview: Telephonic/Face to Face/Skype Interview. -Teams or F2F