Bachelor’s degree – Computer Science or a minimum of 5 years’ progressive experience in a related field.
5+ years of experience in analytics, SQL, and/or ETL development.
Proficiency in data warehousing/business intelligence development/data modeling.
5+ years’ experience building large scale data sources in Oracle or equivalent relational database.
3+ years’ experience using API platforms such as MuleSoft / APIGee and ELT platform such as Matillion or Informatica.
Have excellent SQL.
Hands-on development experience using an ETL tool; Oracle Data Integrator preferred.
Hands-on development experience with Oracle Cloud reporting and data replication; Business Intelligence Cloud Connector Console, BI Publisher, and OTBI preferred.
Strong analytical and problem-solving capabilities.
Experience with BI reporting tools like Tableau, Power BI.
Programming skills: Java, Scala, Python.
Expertise with CI/CD pipeline and integration tools e.
, Jenkins, GIT.
Understand an analytics platform, its use-cases, and best practices.
Experience working with different types of data stores (RDMS, Flat Files, Columnar DBs, etc.
) Strong understanding of dimensional modeling, data lakes, and data vault.
Experience with Cloud-based environment, Saas.
Experience with any of the cloud warehousing products e.
Databricks, Snowflake, Redshift, etc.
Experience with MS Power Platform.
Experience working with cloud environments Azure.
Experience in designing Data Architecture and pipelines.
Proficient in performance tuning and debugging.
Experience required to work in a fast-paced environment with a focus on delivering customer satisfaction.
Travel - up to 10% of the time.
(domestic and international) Must be authorized to work within the US.
We will not be able to sponsor employment for this position.
Certain states and localities require employers to post a reasonable estimate of salary range.
A reasonable estimate of the current base pay range for t.