Job Location: Chennai
– Design and implement Big Data solutions for large enterprise customers belonging to various domains such as Insurance, Banking, Retail, CPG etc.
– Provide thought leadership on modernizing analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools (EDWs, data integration, BI platforms etc.)
– Create data management solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management across Hadoop and NoSQL platforms, spanning on-premise and Cloud based deployments
– Guide physicalization of data models in Big Data Environment for optimal performance
– Come out with Data Ingestion and Data Quality solutions for various Structured and Unstructured data (including logs, images, voice, video, etc.) on various cloud and on-premises platforms
– Evaluate new age big data tools, recommend, and adopt tools based on project needs. Accordingly, knowledge of various Data Engineering, Data Science and Visualization tools available in the market is essential
– To understand and articulate evolving technology trends in AI, ML, ARVR, No-codeLow Code Platforms etc., that could have an impact on the solution proposed
– Creates semantically rich logical data models (relational No SQL) that define the Business data requirements and are independent of any technology solution (i.e. DBMS.)
– Performs the data analysis activities to capture data requirements clearly, completely and correctly, and represent them in a formal and visual way through the data models.
– Manages the life cycle of the data model from requirements to design to implementation to maintenance.
– Requires an in-depth understanding of the Business data needs and the ability to align those Business needs with the overall Enterprise data vision.
Other professional skills that are required :
– Strong interpersonal and communication skills and feel comfortable in group settings
– Good authoringwriting skills to lead quality proposalssolution architecture documents
– Demonstrated experiences and expertise in information management strategy, methodologies, tools and techniques
– Demonstrated experience in global enterprise IT environments and working with multi-geo teams
Technical Skills (Not all are mandatory):
– Big Data : ClouderaHadoop, Kafka, Spark, Hive, Hbase etc.
– Cloud Data warehouses : Amazon EMR Redshift, Azure Synapse, Snowflake
– Databases and Data Modeling : MS SQL Server, Oracle, Cloudera, Erwin
– ETL : Informatica, Talend, Azure Data Factory, AWS glue
– Languages : Java, Python
– VisualizationBI : Power BI, Tableau
– AIML : H2O, DataRobot, Azure ML, AWS Sagemaker
– New age technologies : Conversational AI
– Data Modelling
– Experience in data modeling for structured and unstructured data including but not limited to: Data Lake, ODS, Data Warehouse, Data Integration Hub, OLTPOLAP, or equivalent knowledge.
– Hands on in Data modelling tools – ER Studio, CA Erwin or similar Entity Relationshiptool
3, Excellent SQL skills and demonstrated ability to write complex SQL for purposes of analysing data
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