About the Client:
Our client is a reputed company in banking and financial domain.
Responsibilities:
- Develop, maintain, and tune highly complex scripts using Python and Big Query.
- Managing and designing solutions related to Data Engineering, Data Analysis, Data modelling, Data Warehouse, Data security, ETL
- CI/CD Implementation of cloud solutions.
- Automation of Infrastructure deployment using Terraform and GitHub Actions.
- Develop analytical functionality and complex transformation that will be finally deployed in production data-platforms.
Requirement:
- To be able to independently work on and assist in projects across the organization wherein on-premise applications would be migrated onto Google Cloud platform and work as an individual contributor.
- Sound knowledge of financial service logical data model (Teradata FSLDM), QLIK sense/Discovery, Query Surge, Power BI, Aldon, control-M, Bitucket, JIRA, Jenkins
- Manage communication with client, independently drive and deliver application modules.
- Good experience on Google Cloud Platform, Cloud Storage, Big Query,Dataflow,Dataproc,Composer,Python,Pyspark ,Terraform, GitHub and data pipeline development.
- Hands on experience ingesting source files ( csv/jsons/xmls) as source to GCP.
- worked on GCP real-time implementations(Migration project exposure)
- Candidate should also have good understanding of data landscape and should be able to understand end to end architecture.
- Having exposure to Banking domain is a plus
- Skills required ETL, Python, cloud, Terraform,Pyspark,GitHub, FSLDM and DB Querying using SQL/PLSQL
Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]
We regret to inform that only shortlisted candidates will be contacted
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