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We're looking for AWS Data Engineers Responsibilities - Design, Migrate, build, and maintain data pipelines for performance, scalability, and reliability - Develop and maintain data models and schemas - Integrate data from diverse sources. - Ensure data quality and implement data governance policies. - Able to create reports using PowerBI. - Collaborate with data analysts, product owners and other stakeholders for the Data requirements and support the releases. Qualifications - Bachelor s degree in computer science & engineering - Strong proficiency in SQL: Ability to write complex queries, perform data manipulation, and understand database concepts (both relational and potentially NoSQL). - Proficiency in at least one programming language relevant to data engineering (e.g., Python, Java): Python is preferable. - Understanding of data modeling concepts: Including relational modeling, dimensional modeling and schema design. - Familiarity with ETL/ELT processes and tools: Knowledge of data integration and transformation techniques. - Basic understanding of database systems (AWS Aurora DB, Dynamo DB and RDS) with data warehousing principles(Preferably AWS Redshift): - Basic understanding of cloud computing concepts: Familiarity with at least one major cloud platform (AWS or Azure) is often a plus. - Robust problem-solving and critical thinking abilities - Excellent communication and collaboration skills - Understanding of the agile development methodology ( *Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employers authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.) Skills: aws,database,modeling .
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.