Job Description: Data Engineer at Elite HVAC Heating & Air
Job Responsibilities:
- Design develop and maintain data pipelines and ETL processes to support data analytics
- Collaborate with cross-functional teams to identify and address data-related issues and improve data quality
- Build data models and databases to ensure efficient data storage and retrieval
- Implement data security and data privacy best practices
- Optimize and tune data systems for performance and scalability
- Create and maintain documentation for data processes and systems
Essential Qualifications:
- Bachelors degree in Computer Science Engineering or related field
- Proven experience with data engineering tools and technologies (e.g. SQL Python ETL tools)
- Strong understanding of data modeling data warehousing and data integration concepts
- Experience working with large datasets and databases
- Excellent problem-solving and analytical skills
Desired Experience:
- 1 years of experience in a data engineering role
- Experience working in a cloud-based environment (AWS Azure Google Cloud)
- Familiarity with big data (Hadoop Spark Kafka)
- Experience with data visualization tools (Tableau Power BI)
Salary & Benefits:
- Minimum Salary: $40000 per year
- Maximum Salary: $60000 per year
- Currency: USD
- Benefits: Medical insurance dental insurance retirement plan
Job Description: Data Engineer at Elite HVAC Heating & AirJob Responsibilities: Design develop and maintain data pipelines and ETL processes to support data analytics Collaborate with cross-functional teams to identify and address data-related issues and improve data quality Build data models and...
Job Description: Data Engineer at Elite HVAC Heating & Air
Job Responsibilities:
- Design develop and maintain data pipelines and ETL processes to support data analytics
- Collaborate with cross-functional teams to identify and address data-related issues and improve data quality
- Build data models and databases to ensure efficient data storage and retrieval
- Implement data security and data privacy best practices
- Optimize and tune data systems for performance and scalability
- Create and maintain documentation for data processes and systems
Essential Qualifications:
- Bachelors degree in Computer Science Engineering or related field
- Proven experience with data engineering tools and technologies (e.g. SQL Python ETL tools)
- Strong understanding of data modeling data warehousing and data integration concepts
- Experience working with large datasets and databases
- Excellent problem-solving and analytical skills
Desired Experience:
- 1 years of experience in a data engineering role
- Experience working in a cloud-based environment (AWS Azure Google Cloud)
- Familiarity with big data (Hadoop Spark Kafka)
- Experience with data visualization tools (Tableau Power BI)
Salary & Benefits:
- Minimum Salary: $40000 per year
- Maximum Salary: $60000 per year
- Currency: USD
- Benefits: Medical insurance dental insurance retirement plan
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