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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 recent 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 Robust 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 setting. 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.