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Big Data Lead at Remote, Remote, USA
Email: [email protected]
From:

Sandeep Bisht,

Key Infotek

[email protected]

Reply to:   [email protected]

SAS 5-7 years

Databricks: 3-4+ Yrs

PySpark: 3-4+ Yrs

Requirement:

Big Data Lead

Skills:

Azure ADF,AWS-Redshift,Azure ADF,Azure-BI Developer,BI - SAP Hana,BigData -Cassandra,BigData -Flume,BigData -Hadoop,BigData -HBASE,BigData -Hive,BigData -Impala,BigData -MongoDB,BigData -Nifi,BigData -Scala,BigData -Spark,BigData -Sqoop,Cloud Snowflakes,CloudDatabricks,Data-Dremio,GCP (Google Cloud Platform),BigData -Scala,BigData -Spark,Data Science - PySpark,Data Science - Python

Experience:

6 Years-9 Years

City:

New Jersey

Job Description:

            Primary Tech skills AZURE ,Pyspark,SQL

            Secondary Tech skills   SAS, Synapse, Databricks 

Roles:

Technical co-ordination with Product Group Technical Lead, Architecture team, Data engineering team, BSA, and QE Team for the assigned projects. 

Ability to drive more than one projects in parallel.

Experience of DWH, Data Integration, Cloud, Architecture, Design, Data Modelling

Experience in Pyspark, SQL,Cloud data warehouse like Azure Synapse ,databricks

Experience working with structured and unstructured data

Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies

Experience in ETL/Pipeline Development using tools such as Azure Databricks and Azure Data Factory with development expertise on batch and real-time data integration

Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements

Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server

Experience with Orchestration tools, Azure DevOps, and GitHub

Experience to own end-to-end development, including coding, testing, debugging and deployment

Must be team oriented with strong communication, collaboration, prioritization, and adaptability skill

Keywords: business intelligence microsoft Colorado
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Mon Nov 13 22:23:00 UTC 2023

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