EY - Azure Architect

EY-Hiring-AzureArchitect- Design Azure data services solutions in support of the management & analytics services solution, including SQL Database, SQL Data Warehouse, HD Insight, Azure Machine Learning, Stream Analytics, Data Factory, Event Hubs and Notification Hubs

Architect scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and consumption e.g., development of enterprise Data Lake strategy, and heterogeneous data management- Design and implement various components of data pipeline that include data integration, extraction, storage, processing, and analysis of business data

- Proficient in creating flowcharts, process flows and data flow diagrams

- Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts

- Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write queries

- Should have strong implementation experience in cloud data eco-system, preferably Azure Analytics components like Data Factory, Synapse, HDInsights, Data Explorer

- Experience in any Data integration tools like Talend & Informatica and Ingestion mechanism like Flume & Kafka

- Data modelling - Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage

- Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required

- Knowledge in Data visualization Tools like Tableau, Power BI or any similar tools

- Big data - Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE is preferrable

- 10+ years of experience in the data engineering space with implementation experience in high-volume data projects

- Design and implement various components of data pipeline that include data integration, extraction, storage, processing, and analysis of business data

- Proficient in creating flowcharts, process flows and data flow diagrams

- Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts

- Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write queries

- Should have strong implementation experience in cloud data eco-system, preferably Azure Analytics components like Data Factory, Synapse, HDInsights, Data Explorer

- Experience in any Data integration tools like Talend & Informatica and Ingestion mechanism like Flume & Kafka

- Data modelling - Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage

- Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required

- Knowledge in Data visualization Tools like Tableau, Power BI or any similar tools

- Big data - Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE is preferrable

- 10+ years of experience in the data engineering space with implementation experience in high-volume data projects