
Data Engineer(SQL and Datawarehouse)
2 days ago
Responsibilities:
- Design, develop, and maintain scalable and reliable data pipelines.
- Leverage AWS services such as Lambda, Glue, S3, and EC2 to manage data workflows.
- Utilize Python for data processing, transformation, and automation tasks.
- Work with NoSQL databases and manage data in various formats, particularly JSON.
- Develop and execute ETL processes to transform raw data into actionable insights.
- Write and optimize SQL queries for data extraction and analysis.
- Collaborate with cross-functional teams to gather data requirements and ensure data quality.
- Support data warehousing solutions using Snowflake or similar technologies.
- Monitor, troubleshoot, and optimize data pipelines and workflows for maximum efficiency
Qualifications:
- Bachelor's degree in accounting, economics, actuarial, statistics, computer science or information technology or any relevant experience
- Minimum of 3 years experience in data engineering or similar fields
- PL/SQL Oracle development experience
- Experience pulling data from a variety of data source types
- Dimensional modelling experience
- Experience interfacing with business users and understanding their requirements
- Ability to learn and implement new and different techniques
- Strong Project Management skills
- Experienced in AWS Data Pipeline
- Experienced in Python for data processing, transformation, and automation tasks
- Experienced with OLAP, SSAS, and MD
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