Total Experience - 2 to 5 years
Location : Work From Home. Open to hire candidates across India or international as remote employees.
Mandatory skills:
Tech Stack - RedShift, AWS Glue, DW, DW Architecture.
Role :
This role demands good hands-on programming experience, especially with SQL along with strong hands-on experience in building data-warehousing and data lake systems. This is a back-end role, but not limited to it. You will be learning a lot about Analysis and Business Metrics. Will appreciate a person with lots of patience and data understanding knowledge. Also, we believe in extreme ownership!
Responsibilities :
- Track, process, manage huge amounts of data.
- Design and build systems to efficiently move data across multiple systems and make it available for various teams like Data science, analytics, and product team.
- Design, construct, install, test, and maintain data management systems.
- Understand data and business metrics required by the product and architect the schema and build reports on top of it.
- Ensure that all systems meet the business/company requirements as well as best industry practices
- Keep ourselves abreast of new technologies in our domain
- Recommend different ways to constantly improve data reliability and quality.
Job requirements :
Requirements :
- Bachelors/Masters, Preferably in Computer Science or a related technical field
- 5-7 years of relevant experience
- Good programming experience preferably in PHP, Python, Java and a willingness to learn more
- Deep knowledge and working experience in the development of data warehousing and data lake systems in the cloud, especially with AWS Redshift, S3, and AWS Glue jobs
- Familiarity with data warehousing modeling, such as dimensional data modeling and schema design
- Strong experience in working with large sets of data platforms
- Strong hands-on experience in writing complex and efficient SQL queries
- Experience in version management systems (preferably with Git)
- Strong analytical thinking and communication
- Passion for finding and sharing best practices and driving discipline for superior data quality and integrity
- Ability to approach data organization challenges while keeping an eye on what's important
- Intellectual curiosity to find new and unusual ways of how to solve data management issues.
Good to have :
- Knowledge of data streaming technologies like Kafka, kinesis, Elastic search, snowplow
- Great to have knowledge and experience in visualization tools
- Knowledge of CI/CD tools
- Understanding of infra management and maintenance
Sunday, December 06, 2020
Data Engineer - Redshift/Data Modeling (5-7 yrs) (Talent Thrill)
