Gaining a deep understanding of business domain data and how it is used for metrics, analytics, and AI/ML data designs for strategic project/data product
Ensuring the integrity of data designs and governance for data products
Initiating data design - Conceptual/Logical/Physical data models and proficient in Dimensional Data Design
Proficient in all modeling techniques - Data Flow, ER Diagram, Conceptual, Logical and Physical
Metadata and data taxonomy management
Implementation/designs for data security classification and protection
Building strong working relationships and develop deep partnerships with the business, Data Engg team and other stakeholders
Working collaboratively with clients, developers, and QA analytics to design and implement solutions in production
Data Mapping from the disparate data source – Teradata, Oracle, SQL Server and Semi – Structure data sources and translate to source to target mapping with complex business rules
Mandate Skills on : Data Profiling and Analysis and pivoting results to excel
Will be updating the JIRA’s on a regular basis
What we’re looking for...
SME knowledge & experience using and data architecture/design with Google Cloud Big Query is mandatory
Google Cloud Platform (GCP) certification (or comparable experience)
Data design/migration to Google Cloud Platform hands on experience
Subject matter expertise with Google Cloud Services: Streaming and Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query, and Big Table
Subject matter expertise with Data Proc & Dataflow with Java on Google Cloud Platform
Subject matter expertise with serverless data warehousing concepts on Google Cloud Platform
Experience working with both structured and unstructured data sources
Familiarity with the Technology stack available in the industry for data cataloging, data ingestion, capture, processing, and curation: Kafka, StreamSets, Collibra, Map Reduce, Hadoop, Spark, Flume, Hive, Impala, Spark SQL
Five or more years of relevant expertise to create data architecture diagrams/flows, presentation slideware, and other architecture artifacts from requirements and business users using Erwin Data Modeler or a similar toolset
Working knowledge of Teradata, AWS, and GCP data environments
