Description:
Data Engineer who will be responsible for developing best practices and patterns, maintain our current workloads, optimize our data warehouse builds, data pipelines, and data products. Responsibilities:- Designing, building and maintaining scalable data pipelines to process large volumes of data from various sources
- Develop and Maintain data models databases and data warehouses to support the analytics teams reporting needs
- Ensure data quality and accuracy by implementing data validation and monitoring processes
- Collaborate with data scientist, analysts and other stakeholders to understand their data needs and provide solutions to support their work
Education:
- Degree in Computer Science, Engineering or related
- 3+ years experience in data engineering
- Experience in at least one of the following (Python, C#)
- Must have experience in SQL, data modelling, ETL processes and Data warehousing
- Experience with cloud platforms such as AWS, GCP or Azure
- Familiarity with data technologies such as Synapse, Databricks, DeltaLake, and AirFlow
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Requirements:
- Designing, building and maintaining scalable data pipelines to process large volumes of data from various sources
- Develop and Maintain data models databases and data warehouses to support the analytics teams reporting needs
- Ensure data quality and accuracy by implementing data validation and monitoring processes
- Collaborate with data scientist, analysts and other stakeholders to understand their data needs and provide solutions to support their work
- Degree in Computer Science, Engineering or related
- 3+ years experience in data engineering
- Experience in at least one of the following (Python, C#)
- Must have experience in SQL, data modelling, ETL processes and Data warehousing
- Experience with cloud platforms such as AWS, GCP or Azure
- Familiarity with data technologies such as Synapse, Databricks, DeltaLake, and AirFlow
07 Apr 2025;
from:
careers24.com