Data Engineer
Summary
With over 4 years of experience, this candidate demonstrates expertise in data engineering and data science. They excel in designing and optimizing data pipelines, leveraging a wide array of tools such as Python, SQL, PySpark, and cloud platforms like Azure, Matillion and AWS. Their ability to lead projects, automate processes, and collaborate in Agile environments showcases their value in driving data-driven insights.
Expectations
I am looking for a role that has work-life balance and challenges me to learn and grow. I would like to work somewhere that upward movement is possible and encouraged. I also enjoy working in highly collaborative environments.
Employment Preferences
Expected Base Salary
**0,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- PySpark
- Java
- C++
- C
- C#
- SQL
- Azure Databricks
- Azure Data Factory
- Microsoft Power BI
- Tableau
- Azure Devops
- Jira
- Git
- Bitbucket
- Jupyter Notebook
- Pandas
- Numpy
- Snowflake
- Matillion
- AWS S3
- Automate
- Airflow
- Kafka
- Microsoft Excel
- Data Wrangling
- Data Warehousing
- ETL Pipelines
- ELT Pipelines
- Microsoft SQL Server
- Eclipse
- Atom
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