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Job Description:
As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. The ideal candidate will have a proven track record of writing complex SQL stored procedures with implementing OTLP database solutions (using Microsoft SQL Server). As well as experience with Azure Synapse / PySpark / Azure Databricks for big data processing.
JOB DESCRIPTION:
Key Responsibilities:
Collaborate with cross-functional teams to gather, analyze, and document business requirements for data integration projects.
Expertise in T-SQL, Dynamic SQL, Spark SQL, and ability to write complex stored procedures.
Write complex stored procedures to support data transformation and to implement business validation logic.
Experience in writing notebooks in Azure Synapse/Databricks using Spark SQL or PySpark to process and analyse large volumes of data
Develop and maintain robust data pipelines using Azure Data Factory ensuring seamless data flow between systems.
Strong algorithmic programming skills
Work closely with the team to ensure data quality, integrity, and accuracy across all systems.
Experience on OLTP (Online Transaction Processing) systems using SQL Server and contribute to their enhancement and optimization.
Job ID: 107337563
Skills:
Spark SQL, Data Factory, Pyspark, Data Warehousing, Sql, ELT, Data Lake, Data Governance, Databricks, Python, Etl, Azure DevOps, Pipelines, CI CD, Prefect, Repos, dbt, security best practices, Fivetran, Azure Data Services
Skills:
Spark, Sql, Databricks, Azure Data Factory, Python, Azure Synapse, Pyspark, Kafka, ADLS
Skills:
Azure Data Factory, Data Modeling, Pyspark, Data Warehousing, Azure Databricks, Metadata-Driven Data Engineering, Azure SQL Database, AI ML Data Preparation
Skills:
Scala, Azure Sql, Sql, ELT, Devops, Git, Azure Data Factory, Azure Synapse Analytics, Python, Etl, Azure DevOps, Data Lake Storage
Skills:
Azure Cosmos DB, Azure Data Factory, Docker, Azure Databricks, Itil, Kubernetes, Sql, Azure DevOps, Synapse Data Warehouse, ITSM tools
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