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 Location: kolkata

Work Experience: 3+ years

Salary: 10 LPA - 15 LPA

Notice Period: 30 Days

📌 Data Engineer || Product Based MNC (Direct Payroll) || Kolkata Location (India)
🏢 Digital Aptech
📍 India