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Data Architect

5 months ago

Bengaluru, India ITC Infotech India Ltd Full time

**Data Architect**
Proficiency level: Default/Competent

Years of experience: 6

**Primary Skills**:

- Be responsible for data discovery, data profiling, data modeling and translating high level business requirements into ETL specifications (MS SQL, IBM DataStage and others)
- Analyse data and develop AML Review tools and systems
- Combine raw information from different sources
- Good understanding of Dimensional modelling concepts
- Maintain the meta data and create relevant documentation
- Experience in low and high level designs and providing efficient solutions to complex requirements
- Good at Data Analysis/Profiling
- Proficiency in SQL
- Generate reports to deliver insights, including ad hoc data extraction
- Develop processes for data acquisition, data transformation, data migration, data verification and data monitoring
- Guide integration of data analysis in recurring reporting and data marts
- Collaborate with other data analysts and developers to establish data governance, validation and development
- Create an excellent customer experience and ensure data accuracy
- Be handling, manipulate data, build models, produce meaningful analysis, establish trends
- Create operational and insightful actions towards our digital banking strategy
- Provide analysis of data to detect trends and patterns
- Experience working with Alteryx, Python, SAS, Hadoop or similar Knowledge of BI tools such as Tableau, QlikView, PowerBI or similar

Secondar Skills:

- Optimize available data warehouse infrastructure and carry out monitoring, tuning and database performance analysis
- Facilitate requirements gathering using expert listening skills and develop unique simple solutions to meet the immediate and long-term needs of business customers
- Public Cloud (Either Azure/AWS/GCP)
- CI/CD tools (Azure DevOps, Jenkins)
- Docker/Kubernetes
- Experience with Feature stores (E.g. Hopsworks/Iguazio/FEAST)
- Databricks ecosystem (E.g. Delta Lake)
- Agile ways of working
- Understanding of Hadoop Ecosystem (Hive, NoSQL, HDFS)
- Exceptional experience in developing codes, testing for quality assurance, administering RDBMS, and monitoring of data