Job Description
- Job Responsibilities:
- Develop construct test and maintain architectures such as databases and large-scale processing systems.
- Design and implement data pipelines to collect process and store data from various sources.
- Optimize and tune data structures and algorithms to improve data processing efficiency.
- Collaborate with cross-functional teams to integrate data engineering solutions into overall project architecture.
- Create and maintain documentation for data processes and workflows.
- Essential Qualifications:
- Bachelors degree in Computer Science Information Technology or related field.
- Solid experience in SQL Python and other programming languages.
- Proficiency in data modeling ETL development and data warehousing concepts.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Desired Experience:
- Minimum of 1 year of experience in data engineering or related roles.
- Experience with big data technologies such as Hadoop Spark or Kafka.
- Familiarity with cloud platforms like AWS GCP or Azure.
- Experience in building and optimizing big data data pipelines architectures and data sets.
- Salary & Benefits:
- Salary Range: $78000 - $110000 annually.
- Health insurance retirement plans and paid time off.
- Opportunities for professional development and career growth.
- A supportive work environment with a legacy of excellence in military-grade parts manufacturing.
Job DescriptionJob Responsibilities: Develop construct test and maintain architectures such as databases and large-scale processing systems. Design and implement data pipelines to collect process and store data from various sources. Optimize and tune data structures and algorithms to impr...
Job Description
- Job Responsibilities:
- Develop construct test and maintain architectures such as databases and large-scale processing systems.
- Design and implement data pipelines to collect process and store data from various sources.
- Optimize and tune data structures and algorithms to improve data processing efficiency.
- Collaborate with cross-functional teams to integrate data engineering solutions into overall project architecture.
- Create and maintain documentation for data processes and workflows.
- Essential Qualifications:
- Bachelors degree in Computer Science Information Technology or related field.
- Solid experience in SQL Python and other programming languages.
- Proficiency in data modeling ETL development and data warehousing concepts.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Desired Experience:
- Minimum of 1 year of experience in data engineering or related roles.
- Experience with big data technologies such as Hadoop Spark or Kafka.
- Familiarity with cloud platforms like AWS GCP or Azure.
- Experience in building and optimizing big data data pipelines architectures and data sets.
- Salary & Benefits:
- Salary Range: $78000 - $110000 annually.
- Health insurance retirement plans and paid time off.
- Opportunities for professional development and career growth.
- A supportive work environment with a legacy of excellence in military-grade parts manufacturing.
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