Senior Data Architect

Dear Candidates,Greetings from TCS !!!TCS is a leading global IT services, consulting, and business solutions organization that delivers real results to global businesses, ensuring a level of certainty no other firm can match.TCS is hiring for GCP Data & Analytics Architect, please find the below JD.Experience range – 8 to 20 yearsLocation - Hyderabad, Chennai, Bangalore, Pune, Kolkata, DelhiRequired Skills - GCP Data Engineering (Big Query, DataProc, Dataflow, Composer), ETL/Data Pipeline design, Data Lake/Data Warehouse, Hadoop EcosystemRole& Responsibilities –- Design & Implement ETL/data pipeline and Data Lake/ Datawarehouse in Google Cloud - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Big Query, DataProc, Data Prep , Cloud Composer , Dataflow services/technologies. - 10+ years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on Google Cloud data platform covering – Big Query, DataProc, Data Prep, Cloud Composer , Dataflow, Databricks etc. - Extensive hands-on experience implementing data ingestion and data processing using Google Cloud services: DataProc , Data Prep, Cloud Bigtable , Dataflow , Cloud Composer , Big Query, Databricks, Kafka, Nifi, CDC processing, Snowflake, Datastore , Firestore, Docker, App Engine , Spark, Cloud Data Fusion, Apigee API Management, etc. - Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Attunity, Golden Gate , Data Plex , Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala, etc. - Design and Implement analytics solution that utilize the ETL/data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. - Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. - Create data tools for analytics and data scientist team members that assist them in building and optimizing products. - At least one End-to-end Google Cloud data platform implementation is a must covering all aspects including architecture, design, data engineering, data visualization and data governance (specifically data quality and lineage). - Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts. - Good hands-on knowledge on Big Query and Data Warehousing life cycle is an absolute requirement. - Significant experience with data migrations and development, design, Operational Data Stores, Enterprise Data Warehouses and Data Marts. - Excellent communication skills to liaise with Business & IT stakeholders. - Expertise in planning execution of a project and efforts estimation. - Understanding of Data Vault, data mesh and data fabric architecture patterns. - Exposure to working in Agile ways of working.

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