• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 8th Sep 2021

·         10+ years of experience in data architecture & data analytics space.

·         5+ years of experience in developing end to end data solution architecture for various data architecture patterns. E.g. data warehouses, Operational data stores, Data Lakes etc.

·         Must have experience in various data model patterns used in different data architectures.

·         Must have experience in producing various architecture artifacts and presenting it to various stakeholders and review boards.

·         Must have experience in one or more ETL workloads using Azure Data Factory, HDFS and Spark

·         Must have experience in one or more MPP data platforms like Azure SQL, Managed SQL, Azure Data Lake

·         Must have experience working in Agile environment.

·         Up to date on latest technology platform trends in data architecture space.

·         Data modeling principles including conceptual, logical and physical data modeling, dimensional modelling techniques

·         Well familiar with Data models technologies and approaches

·         Should have experience in data warehouse architectures (e.g. Azure Synapse DB and Enterprise BI)

·         Ability to facilitate communication between technical and business stakeholders to ensure functional requirements and technical implementation considerations are understood and accepted.

·         Data discovery and prototype work in SQL, and work with data consumers to evolve from initial models to final specifications that meet business needs.

·         Present data models in review meetings

·         Practical experience in data mining and analysis tools with intermediate to advanced query skills (ex. MS SQL, Synapse Analytics, Data Explorer, Cosmos, Hive, MR, RedShift, Snowflake, MySQL).

·         Ability to learn quickly and identify opportunities for improvement.

·         Experience with understanding technical design specifications that are consumed by development/engineering teams as a guide for