A tech company is seeking an experienced data engineer to design and build scalable, cloud-native data solutions using Python and AWS. The ideal candidate will have over 5 years of data engineering experience and a strong proficiency in Python and SQL. This role involves collaborating with a multicultural team and a US-based client, requiring excellent communication skills and a detail-oriented mindset.
Qualifications
5+ years of data engineering experience (integration, transformation, processing).
Strong in Python, especially for APIs and data libraries.
Proficient in SQL and big data formats (Apache Parquet, ORC).
Solid data modeling: Relational & NoSQL (bonus: dimensional).
Design and build scalable, cloud-native data solutions using Python and AWS.
Work closely with a multicultural team and a US-based client.
Skills
Data engineering experience
Python
SQL
Data modeling
AWS services
Infrastructure as Code
Pipeline orchestration
Tools
Athena
Kinesis
Kafka
Spark
MWAA
Airflow
Job description
You’ll help design and build scalable, cloud-native data solutions using Python and AWS. You’ll also get to work closely with a multicultural team and a US-based client.
Must-Have Skills
5+ years of data engineering experience (integration, transformation, processing)
Strong in Python, especially for APIs and data libraries
Proficient in SQL and big data formats (Apache Parquet, ORC)
Solid data modeling: Relational & NoSQL (bonus: dimensional)