SAP HANA Analytics
13 hours ago
Experience: 6+ Yrs of experience.
Compensation: $135K (Combination of Base & QPLC).
Job Description:
SAP HANA Analytics
Candidates Should have a very good hands-on experience in
Experience working for Data Engineering/Data Migration projects in building ETL pipelines
Datawarehouse, Data modeling, Building data pipelines
ETL/ELT technologies (DBT/Fivetran/Informatica/Talend/DBT etc)
SAP Hana Development in building end to end data pipeline in DWH envs
Strong SQL, Python for Data Engineering and Data Science
Domain/business knowledge on Finance/Sales/Bookings/Revenue/Install Base/Support Services are preferred.
Outstanding analytical thinking and aptitude.
Certification in Data Engineering tool kits and/or Cloud Technology stack are a plus.
What they are expected do (Depending on the roles Dev Engr/Tech Lead-SME)
Work with multiple complex data sets to accelerate the platform modernization journey for Cisco
Understand the functional aspects of the existing applications hosted in Hana and migrate them to BigQuery
Build/understand the end to end data lineage in Hana, come up with the plans
Convert the code from Hana to BigQuery, Build the pipe-line using DBT, native BigQuery options
Convert the Hana specific objects to BigQuery - meet the performance SLAs as same as Hana in BigQuery
Develop, perform Data Parity, Data Validity & Performance testing b/w On-Prem and Cloud platforms at various levels
Demonstrate higher level of engineering excellence though out the development process
Be part of the development team, responsible for the quality of its technical & functional deliverables.
Come up new ideas to drive data engineering excellence to build various data sets, real-time data pipeline, consumption layer for analytical use cases.
Lead a development team, and responsible for the quality of its deliverables
Learn the business specific functionalities and other technical upgrades quickly and adopt to the changes
Identify and prioritize business and technical requirements using agile methodologies.
Work with a variety of product owners, scrum masters and development teams across different time zones.
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