Maven Companies Inc.
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Requires 12-15 years IT experience, 10+ in data engineering, and 5+ years in Azure. Key skills include SQL, ETL tools, and big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Amazon Redshift #Deployment #SAP #Talend #Synapse #Azure DevOps #Databricks #Spark SQL #Data Engineering #Azure Databricks #Data Lake #PySpark #GCP (Google Cloud Platform) #Informatica #Redshift #Spark (Apache Spark) #Schema Design #AWS (Amazon Web Services) #Programming #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #ADLS (Azure Data Lake Storage) #IoT (Internet of Things) #ADF (Azure Data Factory) #Data Bricks #Migration #DevOps #Azure Stream Analytics #Python #Data Warehouse #Azure SQL #Snowflake #Azure #Big Data #Cloud
Role description
Interview Mode: Video Hands on Interview on SQL, Python, Pyspark.. Azure, Azure Databricks, Fabric, ADLS/ADF etc.
12-15 Years IT Experience and 10 plus in Data Engineering space.
Must have Skills
1. :Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc. Azure experience is preferred over other cloud platforms
1. .10 + years of proven experience with SQL, schema design and dimensional data modelling. Hands on experience in SQL is a MUST
1. .Solid knowledge of data warehouse best practices, development standards and methodologie
1. sHands on 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.
1. .Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL
1. .Be an independent self-learner with “let’s get this done” approach and ability to work in Fast paced and Dynamic environment
1. .Excellent communication and teamwork abilities
.
Nice-to-Have Skill
1. s:Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledg
1. e.SAP ECC /S/4 and Hana knowledg
1. e.Intermediate knowledge on Power
1. BIAzure DevOps and CI/CD deployments, Cloud migration methodologies and proces
se
Interview Mode: Video Hands on Interview on SQL, Python, Pyspark.. Azure, Azure Databricks, Fabric, ADLS/ADF etc.
12-15 Years IT Experience and 10 plus in Data Engineering space.
Must have Skills
1. :Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc. Azure experience is preferred over other cloud platforms
1. .10 + years of proven experience with SQL, schema design and dimensional data modelling. Hands on experience in SQL is a MUST
1. .Solid knowledge of data warehouse best practices, development standards and methodologie
1. sHands on 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.
1. .Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL
1. .Be an independent self-learner with “let’s get this done” approach and ability to work in Fast paced and Dynamic environment
1. .Excellent communication and teamwork abilities
.
Nice-to-Have Skill
1. s:Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledg
1. e.SAP ECC /S/4 and Hana knowledg
1. e.Intermediate knowledge on Power
1. BIAzure DevOps and CI/CD deployments, Cloud migration methodologies and proces
se
