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Design, develop, and maintain scalable data transformation and analytics pipelines using Snowflake, SQL, Python, and dbtPerform data extraction, cleansing, preprocessing, validation, and transformation from multiple data sourcesDevelop complex and optimized SQL queries, stored procedures, views, and data models in SnowflakeBuild and maintain dbt models, macros, tests, snapshots, and documentation following analytics engineering best practicesUse Python for data preprocessing, automation, data validation, and analytical workflowsDevelop and maintain Tableau dashboards, reports, visualizations, and KPI reporting for business stakeholdersTranslate business requirements into effective data models, metrics, dashboards, and analytical solutionsPerform data profiling and quality checks to ensure accuracy, completeness, consistency, and reliability of reporting dataOptimize SQL queries, Snowflake workloads, dbt models, and Tableau dashboards for performanceCollaborate with Business Analysts, Data Engineers, Data Scientists, and business stakeholders to understand reporting and analytics requirementsTroubleshoot data and reporting issues and provide root-cause analysisEstablish reusable data transformation and reporting frameworks to improve scalability and maintainabilityEnsure proper documentation of data sources, transformations, business rules, and reporting logic Requirements 6+ years of overall experience in Analytics Engineering, Data Engineering, BI, or a related roleStrong hands-on experience with Snowflake and advanced SQLStrong Python experience for data preprocessing, transformation, automation, and validationHands-on experience with dbt for data transformation and analytics engineeringStrong experience in Tableau dashboard and report developmentExperience working across data preprocessing transformation data modeling BI reportingStrong understanding of ETL/ELT concepts, dimensional modeling, and data warehousingGood understanding of data quality, governance, and performance optimizationStrong analytical and problem-solving skills with the ability to work directly with business stakeholders .
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.