(senior) azure data engineer

1 week ago

Prayagraj, India All European Careers Full time

For an international project in Chennai, we are urgently looking for a Full Remote Senior Azure Data Engineer, who will build data pipeline for enterprise search applications using ADF and Databricks. We are looking for a motivated contractor. Candidates need tbe fluent in English. Tasks and responsibilities: Build data integration feeds according to the requirement; Review the business requirements and design the Pipelines that loads data into Azure Data Lakes or Azure Data warehouses, Azure Synapse, Azure Databricks or Cloud services. etc; Developing pipelines between different data sources including XML, flat files, SAP and databases. Strong Experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality; Strong analytical abilities required to evaluate work and provide technical assistance; Perform Code optimization and strictly adhere IFC standards; Expertise in monitoring and improving performance of the Azure data feeds; Create Design, Functional/Technical specification documentations or any artifacts needed; Profile: Bachelor or Master degree; +5 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality. Expertise on Azure platforms including experience in Azure Databricks, ADLS, Synapse and its various components is mandatory; 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 and Python/Py Spark programming etc; Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills; Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle; Expertise experience in complex SQL queries is required; 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; Should have executed end-to-end projects focusing on analytics, data warehousing, enterprise reporting; Leveraging components like Azure Automation, Azure Power Shell Scripting, Az Copy, Devops/ARM Templates; Should have thorough understanding of Data-lakes, raw/enriched/curated layer concepts and ETL within Azure framework; Highly skilled in end-to-end Data warehousing and BI (analytics) design / development; Create Design, Functional/Technical specification documentations or any artifacts needed; Fluent in English;

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