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• No of position :- ( 1 )

• Post :- 25th Apr 2022

Data Architect is responsible for planning and designing next-generation big-data systems and managing large-scale development and deployment of Hadoop applications
At least 6 years of hands-on experience as Data Architect
Strong experience building data ingestion pipelines (simulating Extract, Transform, Load workload) in data warehouse and database architecture
Hands-on development experience using open source big data components such as Hadoop, Scala, Hive, Pig, Spark, HBase, HDFS, YARN, Sqoop, NiFi, Storm, Impala, Hawk, Oozie, Mahout, Flume, Kafka, ZooKeeper, Sqoop etc. preferably with Cloudera / Hortonworks
Experience in architecting and designing large scale ETL workload migration from traditional ETL (Ab Initio / Informatica) to Spark
Experience in designing and leading Big Data projects, designing data models on Hive and HBase for high-performance and storage.
Executed multiple Hadoop data lake projects (batch & streaming real time data) and led the developers’ team.
Strong experience with data modeling, design patterns, building highly scalable Big Data Solutions and distributed applications
Experience with storing, joining, filtering, and analyzing data using Spark, Hive and Map Reduce
Deep understanding of business domain data and how it is used for metrics and analytical data designs 
Strong data design experience & knowledge that can be applied to big data architectures and cloud data lake environments, (i.e Very strong data analysis & design experience on
Teradata and/or big data platforms for curation and analytics use cases)
Business Analyst mindset/aptitude to understand domain data requirements for design deliverables
Experienced in creating source to target mapping design documentation for data engineering
Data Warehouse Data Modeling using Erwin - Data Flow, ER Diagram, Conceptual, Logical and Physical
Deep understanding of data flows, data taxonomy and organization, data lineage
Experience with architecting end to end data solutions for both batch and real time designs
Metadata & documentation management required for Erwin modelling, data cataloging
Creating high level and detailed data design documentation
Experience working collaboratively with clients, developers, and architecture teams understanding requirements to design and implement data solutions
Excellent verbal and written communication skills
Strong data profiling skills and analysis skills  (expert SQL skills, and strong data exploration and discovery skills)