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Role & responsibilities Years of Experience: Candidates with 4-8 years of hands on experience Position Requirements: Must Have: Mandatory:(Azure, Snowflake Engineering Manager, AWS, DBT) - 4+ years of experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services - Should be aware of Data Management concepts and Data Modelling - Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory - Should have expertise in extracting data from different source systems like flat files, XML sources, JSON, Parquet files, Big data appliances, RDBMS, etc. - Valuable knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory - Should have clear understanding of DW lifecycle and contributed in preparing - Detail Level Design document - Unit Test plans - Code review reports - Must have strong knowledge in Snowflake and sql, understand joins, groups, functions & Stored procedures - Must have experience in Unit and Integration Test creation and verification - Proficient in creating documentation related to Project Architecture, Project end User Manual and Operations Hand off guide - Should have good understanding of Data Migration processes, methods and project lifecycle - Good in Unix Shell Scripting skills - Strong analytical skills and troubleshooting skills - Should be well versed with quality processes and implementation - Excellent communication skills - Strong understanding of Cloud data migration processes, methods and project lifecycle - Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit Preferred candidate profile .
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.