Senior Data Architect

Job DescriptionWe are looking for Senior Data Solution ArchitectBelow are detailsData Solution ArchitectProven experience as architect and engineering lead in Data & Analytics streamIn-depth understanding of data structure principles and data platformsProblem-solving attitude, solution mindset with implementation expertiseWorking experience on Modern data platforms which involves Cloud & related technologies, Graph databases, VirtualizationWell-versed with the end2end data management philosophies and governance processesHas pre-sales experience and have involved in RFP/RFI/RFQ processesCreative problem-solver with strong communication skillsExcellent understanding of traditional and distributed computing paradigmShould have excellent knowledge in data warehouse / data lake technology and business intelligence conceptsShould have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queriesShould have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:Data integration – ETL tools like Talend and Informatica. Ingestion mechanism like Flume & KafkaData modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage Data visualization – Tools like Tableau Master data management (MDM) – Concepts and expertise in tools like Informatica & Talend MDM Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required Knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner, etc. Experience in cloud data eco-system - AWS, Azure or GCP Demonstrate strong analytical and problem solving capability Good understanding of the data eco-system, both current and future data trends 10+ years of experience in the data engineering space with at least few complex & high volume data projects as an architect is mandatory
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