Big Data Architect
1 week ago
Job Overview
">Gloify is seeking a skilled Data Engineer to build, maintain and optimize our data pipeline architecture. This role involves developing ETL pipelines based on requirements following best practices.
Key Responsibilities:
- Design, develop and optimize data pipeline architecture for big data processing
- Develop ETL pipelines based on specifications and standards using Python, SQL, shell script and Javascript (Node.js)
- Collaborate with project teams to provide input and assistance in design, development and support of ETL and database components
- Mentor junior programmers in the team and plan their skill development
- Determine technical needs for the team to work on assigned or third-party tools
- Document data requirements, format and tool dependencies
Requirements and Qualifications:
- 3+ years of experience in Big Data, knowledge of multiple cloud storage options like S3, Redshift or Bigquery
- Proficiency in MySQL, NoSQL, Pandas and Spark
- Expertise in Python, SQL, shell script and Javascript (Node.js), familiarity with Docker, Kubernetes and multiple cloud providers (AWS, Azure & GCP)
- Experience with Queue systems like Rabbit MQ, SQS and building pipelines using the same
- Strategies for Real-time analytics and batch processing
- Bachelor's or Master's degree in Computer Science or equivalent experience
Compensation and Benefits:
- $120,000 - $180,000 per year salary range, reflecting market conditions and location factors
- Promising growth opportunities and professional development resources within Gloify
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