Data Engineer
Data Engineer
Posted on :
20-06-2024
Employer Active
1 Vacancy
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Jobs by Experience
5years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
20-06-2024
Job Description
This is a remote position.
At Softgic we work with the sharpest minds with those who build with those who love what they do with those who have a 100% in attitude because thats our #Coolture. Join our purpose of making life easier with technology and be part of our team as Data Engineer.
Responsibilities:
Design develop and maintain scalable ETL/ELT pipelines using Snowflake and Azure Data Factory.
Implement data processing solutions with Azure Data Factory and Snowpipe for largescale processing.
Develop and optimize SQL queries for data extraction transformation and loading.
Create and maintain star schema data models for business intelligence and reporting.
Conduct data analysis and validation to ensure accuracy and integrity.
Collaborate with data analysts to meet business data requirements.
Write and maintain SQL scripts for automation and integration tasks.
Utilize Sigma for data visualization and reporting.
Monitor and troubleshoot data pipelines for reliable data flow and performance.
Stay updated with trends and technologies in data engineering and analytics.
Requirements
- Bachelor s degree in Computer Science Information Technology Data Science or a related field.
- 5 years of experience in data engineering or a related role.
- Proficiency in Snowflake and Azure Data Factory for data warehousing and ETL/ELT processes.
- Strong experience with Apache Spark for big data processing.
- Solid understanding of star schema data modeling and its application in data warehousing.
- Advanced SQL skills for data manipulation and query optimization.
- Knowledge of Python for scripting and data processing tasks is a plus.
- Experience with data visualization tools.
Preferred Qualifications:
- Experience with Snowflake and Azure cloud platforms.
- Knowledge of other data modeling techniques and database management systems.
- Experience with machine learning and data science tools and frameworks.
- Experience with Sigma data visualization tools.
Benefits
- Were certified as a Great Place to Work.
- Opportunities for advancement and growth.
- Paid time off.
- Formal education and certifications support.
- Benefits with partner companies.
- Referral program.
- Flexible working hours.
Expert Data engineering Proficient ETL Python Snowflake Apache Spark Azure Data Factory Six Sigma SQL
Employment Type
Full Time
Key Skills
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