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Data & Analytics Platform Architect

5.00 to 10.00 Years   Bangalore   16 Nov, 2022
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    What Youll Do in the role of a Data Architect,
    • Youll work to lead end-to-end strategic technical transformation efforts across multiple data platforms both on-prem and cloud. You will provide knowledge backed leadership across the community to drive both the business goals and outcomes as well as to catalyze the knowledge acquisition of the teams around you. You will work directly with the business architecture and solutions teams and their respective leadership teams to create a vision and long-term strategies that will enable Cisco s future state technical transformation effectively and efficiently as possible while minimizing impacts to current business.
    Key Responsibilities Include
    • Supervise business use and performance of the Teradata data warehouse and provides feedback to data warehouse DBAs, ETL (Extract Transform Load) developers and provide mentoring and assistance in sql tuning to business partners and users.
    • Be responsible for technical transformations, bringing to bear your knowledge of the best ways and tools, quickly go through tech stack and code to understand a Data and analytics ecosystem and deliver on transformation needs.
    • Fix and resolve user and database issues to ensure the data warehouse meets service level requirements.
    • Develop, manage, schedule, and document data warehouse operations and tasks, including archival, security, backup & workload management.
    • Identify performance bottlenecks and arrive at a methodology to overcome the same proactively.
    • Experience towards implementing processes towards database security and governance.
    • Strong knowledge on database replication and data modelling.
    • Expertise on scripting tools like Python, Shell and the ability to implement automation to drive efficiencies.
    • Experience with data pipeline and workflow management tools like Airflow, etc.
    • Knowledge of designing, implementing, deploying, and maintaining the ETL/ELT process and data flow, including data quality using various data integration tools.
    • Understanding of cloud technologies and solutions available on AWS and GCP such as Cloud Data Lake, query engines, cloud storage, compute, networking setup for connecting across multiple cloud providers, user access management and security.
    • Experience with cloud ETL tools like Informatica, Matillion, Fivetran
    • Experience with workflow schedulers like Apache Airflow
    ,

Keyskills :
source system analysisteradata data warehousedata flowetl toolssql tuningsoft skills

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