Data Engineer

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.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type: Full Time

Experience: years

Vacancy: 1