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