Description

Secondary Skill set:
Docker, Kubernetes, CI/CD
At least 5+ of hands-on experience in designing, implementing, managing large-scale and ETL solutions.
At least 3 years of hands-on experience in business intelligence, data modelling, data engineering, ETL, multi-dimensional data warehouses, cubes, with expertise in relevant languages and frameworks like SQL, Python etc.
Hands on experience with designing and fine-tuning queries in Columnar DB(Redshift or Snowflake)
Strong knowledge of Data Engineering, Data Warehousing, OLAP and database concepts
Understanding of common DevSecOps/DataOps and CICD processes, methodologies, and technologies like GitLab, Terraform etc
Be able to analyze large complex data sets to resolve data quality issues

Key Skills
Education

Bachelor's degree in Computer Science

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