ITC Infotech India Limited is Looking for Data Architect 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