Data Engineer || Product Based MNC (Kolkata)

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 workplace. - 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 Loca .