Data Engineer
- United States
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Job details
- Posting language
- English
- Posted
Original job description
Expertise on Azure platforms including Azure Databricks, ADLS, and its various components, • In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc. • Expertise on Azure platforms including Azure Databricks and its various components, including Delta Lake. • Strong understanding of data architecture and data management principles. • In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc. • In-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory • Hands on experience on Function apps , Event Hubs,, Web apps , API M. • Good have to experience on Migration to Salesforce • Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills. • Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala. • Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g. • Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms. • Experience with real-time / near-real-time Data warehousing concepts and Design approaches.
More about this job
Skills
- Microsoft Azure
- Databricks
- Microsoft Azure Data Factory
- SQL
- Apache Spark
- Python
- Data management
- Data engineering
- Salesforce
- SQL Server Integration Services
- Informatica
- Programming languages
- Scala
- Microsoft SQL Server
- Oracle
- Data warehousing