Job Requirement:

Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or related field (or equivalent experience).
1+ years of experience working as a Data Engineer or in a similar role.
Strong proficiency with SQL (optimization, complex queries, stored procedures).
Experience with ETL/ELT workflows preferably in Apache Airflow
Solid experience in Python
Understanding of data modeling, data warehousing, and schema design.
Familiarity with Redshift (maintenance tasks like vacuum, query optimization, pg_stat analysis).
Knowledge of Docker and containerized deployments.
Comfortable working in Linux/Ubuntu environments.

Job Description:

Create and develop data ingestion from various sources: RDBMS, Rest API, Kafka, Text File, and Spreadsheet
Collaborate with Analytics & Business Intelligence team in order to design scalable implementations of their models
Partner with teammates to create complex data processing pipelines in order to solve our users
Design, develop, optimize, and maintain data architecture and pipelines
Ability to quickly resolve performance and systems incidents.
Drive the prioritization, strategy, and focus on solving user problems.

Note:

Working arrangement:

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