Data Engineer

Role responsibilities : Understands requirements and is involved in the discussions relating to technical and functional design of the sprint/ module/project Design and implement end-to-end data solutions (storage, integration, processing, and visualization) in Azure. Used various sources to ingest data into Azure Data Factory ,Azure Data Lake Storage (ADLS) such as SQL Server, Excel, Oracle, SQL Azure etc. Extract data from one database and load it into another Build data architecture for ingestion, processing, and surfacing of data for large-scale applications Use many different scripting languages, understanding the nuances and benefits of each, to combine systems Research and discover new methods to acquire data, and new applications for existing data Work with other members of the data team, including data architects, data analysts, and data scientists Prepare data sets for analysis and interpretation Perform statistical analysis and fine-tuning using test results Create libraries and extend the existing frameworks Create design documents basis discussions and assists in providing technical solutions for the business process Preferred candidate profile In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework 3+ years of overall experience with Azure, Data Factory and .Net Strong in Data factory and should be able to create manual and auto trigger pipelines Should be able to create, update, edit and delete ETL jobs in Azure Synapse Analytics Recreate existing application logic and functionality in the Azure Data Lake, Data Factory, SQL Database and SQL data warehouse environment. Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS) Proven abilities to take initiative and be innovative Analytical mind with a problem-solving aptitude Job Category: Data Engineer Job Type: Full Time Job Location: kolkata Work Experience: 3+ years Salary: 10 LPA - 15 LPA Notice Period: 30 Days

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