Data Engineer / Data Warehouse Engineer
Data Engineer/ Sr. Data Engineer Data Warehouse Engineer/ Sr. Data Warehouse Engineer
Algonomy (previously Manthan-RichRelevance and Linear Squared) is a global leader in algorithmic customer engagement powering digital-first strategies for retailers and brands.
To support the financial well-being of our employees during these trying economic conditions, we have recently pegged the compensations of all our permanent employees.
Experience
- 3+ years of working experience
SQL & DB PROGRAMMING
- Good in SQL & DB Programming (T-SQL / PL-SQL)
- Should have In-depth knowledge of T-SQL / PL-SQL Programming, performance tuning of complex queries
- Should have sound knowledge in creating various database objects – Stored Procedures, User Defined Functions, Views, indexes
ETL
- Develop Scripts and Programs required to extract, transform, clean, and move data, in a manner that quality data can be loaded into the Data Warehouse
- Experience in “incremental and history data load”
DW & BI
- Should have been part of at least 1-2 Bl projects or DW projects
- Should have knowledge in the logical and physical design of databases & Data Warehouse
- Should have analytical ability to apply towards problem-solving/getting the deliverables
Additional Skills
- Understand the process around quality assurance
- Problem-solving, analytical, and troubleshooting skills
- Good communication skills in English, both written and verbal
- Familiar with Code Management and Code review process
- Good with the documentation process
Nice to Have
- Understanding of Agile development process Retail/CPG exposure
- Experience in SSRS/SSAS 2012/2016 and knowledge of standard Bl tools which is an added advantage
- Exposure to a cloud technology like AWS, Azure, Redshift, or GCP-based DBs
Attractive financial remunerations along with a fun and flexible working environment await the right candidate.
Company: Algonomy
Company email: [email protected]
Job Location: Colombo
Job Category: Software Development / Web / QA / Data / GIS
Job Type: Full Time
