Job Description:
- Job Responsibilities:
- Design develop and maintain scalable data pipelines and infrastructure.
- Collaborate with cross-functional teams to understand data requirements and implement solutions.
- Implement data models ETL processes and data warehousing solutions.
- Ensure data quality and integrity by implementing best practices and monitoring tools.
- Optimize data storage and retrieval processes for performance and efficiency.
- Essential Qualifications:
- Bachelors degree in Computer Science Information Technology or a related field.
- Proven experience as a Data Engineer or similar role.
- Strong proficiency in SQL Python and other programming languages.
- Experience with data warehousing ETL processes and data modeling.
- Ability to work with big data technologies such as Hadoop Spark or Kafka.
- Desired Experience:
- Minimum of 1 year of experience in data engineering.
- Experience working with cloud platforms such as AWS GCP or Azure.
- Knowledge of machine learning techniques and data analytics.
- Strong problem-solving skills and the ability to troubleshoot complex data issues.
- Salary & Benefits:
- Minimum Salary: $110000
- Maximum Salary: $143000
- Benefits include health insurance retirement plans and paid time off.
- Opportunity for professional growth and advancement within the organization.
Job Description: Job Responsibilities: Design develop and maintain scalable data pipelines and infrastructure. Collaborate with cross-functional teams to understand data requirements and implement solutions. Implement data models ETL processes and data warehousing solutions. Ensure da...
Job Description:
- Job Responsibilities:
- Design develop and maintain scalable data pipelines and infrastructure.
- Collaborate with cross-functional teams to understand data requirements and implement solutions.
- Implement data models ETL processes and data warehousing solutions.
- Ensure data quality and integrity by implementing best practices and monitoring tools.
- Optimize data storage and retrieval processes for performance and efficiency.
- Essential Qualifications:
- Bachelors degree in Computer Science Information Technology or a related field.
- Proven experience as a Data Engineer or similar role.
- Strong proficiency in SQL Python and other programming languages.
- Experience with data warehousing ETL processes and data modeling.
- Ability to work with big data technologies such as Hadoop Spark or Kafka.
- Desired Experience:
- Minimum of 1 year of experience in data engineering.
- Experience working with cloud platforms such as AWS GCP or Azure.
- Knowledge of machine learning techniques and data analytics.
- Strong problem-solving skills and the ability to troubleshoot complex data issues.
- Salary & Benefits:
- Minimum Salary: $110000
- Maximum Salary: $143000
- Benefits include health insurance retirement plans and paid time off.
- Opportunity for professional growth and advancement within the organization.
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