Job Description

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:
• Bachelor's 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: $110,000
• Maximum Salary: $143,000
• Benefits include health insurance, retirement plans, and paid time off.
• Opportunity for professional growth and advancement within the organization.

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