Title Sr. Data Architect Azure & Databricks Duration 12 Months Location New York / Weehawken, NJ (Day 1 onsite ) Mandatory Skills Databricks, Azure Datalake, PySpark, Java. No of Open Positions 1
Job Description :
Minimum 12 years of IT experience and at least 5 years in cloud native data engineering solution design/architecture and development.
Strong hands-on expertise in building Data engineering solutions using Apache Spark and Scala.
Deep expertise in Performance tuning and optimization of Spark/Scala programs.
bility to design and build data engineering tasks using Data bricks framework.
Hands on experience working with Azure Cloud services like Azure Data Factory, Azure Data Lake Storage, Azure Even hub, Azure SQL, Azure Analytical services, Azure Cosmos DB,
Should be able to demonstrate expertise in designing and building efficient and scalable data engineering solutions using Massively Parallel Processing (MPP) architecture.
Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules
Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
Experience building and optimizing big data data pipelines, architectures and data sets.
Experience in writing HQL queries in Hive Data warehouse and performance tuning of HIVE scripts
Well versed with Relational and Dimensional Modeling techniques like Star, Snowflake Schema, OLTP, OLAP, Normalization, Fact and Dimensional Tables
Proficient in creating Technical Design Documents (TDD).
Familiar with DevOps principles and experience in CD/CI implementations using Azure native services.
Very good customer relationship and stakeholder management skills
Excellent communication and presentation skills.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.