Hands on technical skills in Datawarehouse design, Data Modeling of Business Data (logical and physical)Hands on on building Datalakes(optional)Hands on experience and expertise of an ETL tool (like Datastage, AbInitio, Informatica, Talend etc ) or technology stack (in case of opensource software) that has been used for doing ETL, like Python, or Cloud data movement software like AWS Glue.Big Data experience or awareness of concepts of big data an added advantage.Awareness of columnar databases and proficient in SQLShould have worked on one cloud platform such as Azure, AWS or GCP, preferably AWS. Certification in AWS ,Azure GCP an added advantage(but not mandatory).Ability to analyze data for errors, using queries on database.Analyzing and reporting metrics of Datawarehouse data to reduce customer data issues and improve customer data quality to ensure that teams follow and support customer data governance policiesConduct build-testing of data to ensure smooth run of data load and timely user acceptanceAbility to develop queries to analyze data and visual the results to present back to the stakeholdersShould be able to handle pressure-situations and clearly articulate problems , bottleneck , issues if any .Engage with stakeholders as and when required.Owning the data requirements for the implementation of data pipelines by looking at the visualization requirements of stakeholders.Minimum Qualifications
- Bachelors in pharmacy / technology
- MBA
- MS / MTech
- Preferred Qualifications
- Excellent written and verbal communication in English.
Skills Required
Gcp, Datastage, Data Quality, Data Modeling, Data Governance, Ab Initio