Position: Data Engineer - Business Intelligence, Data Engineering
Experience: 10-15 yrs
What youll do:
Design, architect, implement, and support key datasets that provide structured and timely access to actionable business information with the needs of the end customer always in view
Retrieve and analyze data using SQL, Excel, and other data management systems
Create ETLs/ELTs to take data from various operational systems and craft a unified dimensional or star schema data model for analytics and reporting
Develop a deep understanding of vast data sources (existing on the cloud) and know exactly how, when, and which data to use to solve particular business problems
Experience developing and operating large scale analytical databases/platforms/data warehouses and performing ETL across multiple operating systems (Microsoft and Linux)
Experience in working with Cloud BI Production implementation
Experience with Agile, DevOps, CICD frameworks
Experience working with multi-terabyte data sets using relational databases (RDBMS) and SQL
Experience using Agile/Scrum methodologies to iterate quickly on product changes, developing user stories and working through backlogs.
Notice Period: Immediate to 60 days Only
This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities and qualifications may vary based on assignment or group.
Who you are: Youll fit this role if you have:
10+ years of experience with detailed knowledge of data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and data security.
5+ years of experience in designing data warehouse solutions and integrating technical components.
2+ yrs of experience with any scripting language (Ruby, python, etc.).
2+ yrs of experience leading data warehousing and analytics projects, including using AWS .technologies Redshift, S3, EC2, Data-pipeline and other big data technologies.
1+ yr of experience with production BI implementation in the Cloud.
Exposure in at least one reporting tool like Qlikview, Tableau, Power BI etc.
Capable of investigating, familiarizing and mastering new data sets quickly.
Experience with building data platform on cloud (AWS).
Good familiarity with Linux/Unix scripting.
Experience with Hadoop, MPP DB platform, other NoSQL (Mongo, Cassandra) technologies will be a big plus.
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- Last updated:
- Job type:
- Full time
- Position type:
- Minimum experience:
- More than ten years
- Compulsory Education
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