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
