Senior Azure / Data Engineer with (ETL/ Data warehouse background)

Overview

Remote
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

Amazon Web Services
Amazon Redshift
ADF
Analytics
Apache Spark
Big Data
Cloud Computing
Communication
Continuous Delivery
Continuous Integration
Data Engineering
Data Warehouse
Database
Databricks
DevOps
Dimensional Modeling
ELT
Extract
Transform
Load
Good Clinical Practice
Google Cloud Platform
Informatica
IoT
Microsoft Azure
Microsoft Power BI
Migration
PySpark
SAP ECC
SAP HANA
SQL
SQL Azure
Snow Flake Schema
Talend
Teamwork

Job Details

Role: Senior Azure / Data Engineer with (ETL/ Data warehouse background)
Location: Remote
Duration: Long Term Contract

Rate : $60 - $70/Hr.

Looking for only Locals

It s a Hybrid Role and needs to be Onsite 3 Days a Week
Need with 10+ years of experience
Must have Skills :
Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, Google Cloud Platform, Data Bricks, etc. Azure experience is preferred over other cloud platforms.
10 + years of proven experience with SQL, schema design, and dimensional data modeling
Solid knowledge of data warehouse best practices, development standards, and methodologies
Experience with ETL/ELT tools like ADF, Informatica, Talend, etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon Redshift, Snowflake, Google Big Query, etc..
Strong experience with big data tools(Databricks, Spark, etc..) and programming skills in PySpark and Spark SQL.
Be an independent self-learner with a let s get this done approach and the ability to work in Fast paced and Dynamic environment.
Excellent communication and teamwork abilities.

Nice-to-Have Skills:
Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge.
SAP ECC /S/4 and Hana knowledge.
Intermediate knowledge on Power BI
Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes

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