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Data & Analytics Engineer Experience: 8+ Years Location: Remote | India Employment Type: Contract Shift: 2:00 PM 11:00 PM IST Joining: Immediate We are hiring for one of the top IT services companies. SPADTEK Solutions is proud to collaborate with leading IT organizations to source exceptional talent for their full-time and contract positions. Client/Implementation Partner is a globally recognized IT services and consulting company, trusted by Fortune 500 clients and enterprises worldwide. With a strong presence across cloud, data engineering, AI, and digital transformation and is known fordelivering cutting-edge solutions that drive business growth and innovation.Working on enterprise-scale projects with global clients.Exposure to next-gen technologies across cloud, data, and digital platforms. A culture that values continuous learning, collaboration, and growth opportunities.Being part of a company consistently ranked among the top IT employers. If you are an experienced professional seeking a long-term career opportunity with one of the industry s most respected names, this is your chance to join top IT services company through SPADTEK Solutions. Job Summary We are looking for an experienced Data & Analytics Engineer to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate should have strong expertise in Snowflake, dbt, Prefect, BigQuery, DOMO, and SQL, with experience in cloud data engineering and BI reporting. Key Responsibilities - Build and maintain data pipelines using dbt, Snowflake, and BigQuery. - Develop and manage workflow orchestration using Prefect. - Create dashboards and reports in DOMO. - Optimize data models, query performance, and warehouse costs. - Implement data quality, testing, and CI/CD best practices. - Collaborate with analytics and engineering teams to deliver reliable data solutions. Required Skills - 8+ years of Data/Analytics Engineering experience. - Strong hands-on experience with Snowflake, dbt, Prefect, BigQuery, and DOMO. - Advanced SQL skills; Python is a plus. - Experience with Git and CI/CD workflows. - Good understanding of data modeling, ETL/ELT, and performance optimization. - Exposure to Salesforce Marketing Cloud (SFMC) and Listrak is an added advantage. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.