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About The Role In this role, you will contribute to the data platform powering a client's Go-To-Market (GTM) revenue operations, supporting areas such as lead routing, advertiser identity, campaign segmentation, and sales tooling. You will build scalable data pipelines and reliable data assets across Snowflake, GCP, and Salesforce while partnering with engineering, product, and business teams. Responsibilities Build and optimize scalable data pipelines across Snowflake, GCP, and Salesforce Data Cloud to support GTM operations Own the development and maintenance of reliable ETL/ELT workflows, ensuring data availability, quality, and efficient processing Collaborate with engineers, Product Managers, and business stakeholders to translate GTM requirements into practical data solutions Model and maintain data assets covering advertiser identity, lead enrichment, revenue, customer, and CRM data Develop and optimize SQL queries for data transformation, reporting, analytics, and downstream consumption Implement data quality controls, validation processes, and schema consistency across GTM data marts Support ongoing platform enhancements, troubleshooting, and optimization to improve reliability and performance Requirements Strong experience with SQL and Snowflake for data transformation, modeling, and analytics Advanced proficiency in Python for data processing and transformation workflows Hands-on experience building ETL/ELT pipelines using dbt, Airflow, or similar data engineering tools Practical experience with GCP or AWS data platforms and cloud-based data engineering solutions Solid understanding of CRM data models, including leads, contacts, accounts, and opportunities Exposure to Salesforce SOQL, Salesforce Data Cloud, or Salesforce data models (as a plus) Familiarity with data enrichment platforms such as ZoomInfo, Dun & Bradstreet (D&B), or similar solutions (as an advantage) SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
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.