Vacancy expired!
- Hands on Data Architect with implementation experience in Public Cloud (AWS. Azure).
- Hands on with implementation experience knowledge in Big Data and Distributed Processing Platforms like Cloudera, Spark, Kafka, Hadoop, Hive, Snowflake etc.
- Do Assessment of current state data maturity of an enterprise and define the future roadmap.
- In-depth Knowledge of Data Governance techniques viz. Data Quality, Metadata Management, MDM, Data Security, Information Lifecycle Management.
- Lead large data strategy and Next Gen Data Platform implementation engagements during the initial definition phase and lead it to a steady state.
- Solution, Technology, Deployment Architecture definition for Next Generation Data Platforms & Data Lakes.
- Lead proposal responses and own solution, estimations and implementation approaches.
- Participate in discussions with C-Level executives and articulate TCS capabilities, differentiators, solution approaches etc.
- Drive PoCs and PoTs in the Data & Analytics space which can be presented as accelerators & frameworks.
- Define Assessment, Migration Strategy for movement of on-Premise Data Platforms to Cloud.
- Experience in Big Data technologies like Hadoop, Hive, Spark , Impala , PrestoDB, Kafka, Cassandra.
- Cloud Technologies like AWS S3, AWS EMR , Glue, Lambda, Redshift , Snowflake , Azure Datalake Store, Azure Databricks, Azure SQL ,Synapse, CosmosDB. Deep knowledge in any of these technologies is a must.
- You will be part of the Data & Analytics team and will play the role of an Solution Architect responsible for leading discussions on data strategy definition with C-Level Executives.
- For Large Data Strategy or Next Gen Data Platform implementation engagements, you will be responsible for owning delivery for the initial phase and lead it to a steady state.
- Define Assessment & Migration strategy for On-Premise Data Platform to public Cloud.
- Constantly engage with account teams and customers to understand the existing challenges in their
- Data Platforms and come up with reusable solutions which can be cross-sold to other accounts/customers.
- Come up with innovative Data Product ideas which can be implemented as a POT and taken to various customers.
- Will be responsible to define Data Governance processes and will be able to Solutions on Data Quality, Data Lineage, Meta-Data Management, Master Data Management etc.
- BFSI Domain Experience is Required (4-5 Years).
- Master’s degree in quantitative areas like Computer Science or related.
- Years of experience required for position 10+ Years.
Vacancy expired!