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SeniorFull-timePython
Salary Range
$26,520 - $35,880 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a skilled Data Engineer to join our team and help design and implement an end-to-end data architecture for a leading enterprise client. This role is part of a strategic initiative to enable robust analytics, BI, and operational workflows across both on-premise and cloud environments.
Key Responsibilities
- →Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs.
- →Build, maintain, and optimize data pipelines and transformations using Python, SQL, and Spark.
- →Manage large-scale data storage and processing with Iceberg, Hadoop, and HDFS.
- →Develop and maintain dbt models to ensure clean, reliable, and well-structured data.
- →Implement robust data ingestion processes, integrating with third-party APIs and on-premise systems.
- →Collaborate with cross-functional teams to align on business goals and technical requirements.
- →Contribute to documentation and continuously improve engineering and data quality processes.
Requirements
- ✓Strong experience in distributed systems
- ✓Proficiency in Python and Scala
- ✓Experience with modern data engineering tools
- ✓Knowledge of SQL and Spark
- ✓Familiarity with Iceberg, Hadoop, and HDFS
- ✓Experience with dbt models
- ✓Ability to work with third-party APIs and on-premise systems
