🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
POSITION TITLE: Senior Databricks Engineer EXPERIENCE - 8+ Years LOCATION: Gurgaon, India SKILLS - Spark, SQL, Python, and Scala.,Azure ABOUT SALETANCY Saletancy is a global sales and marketing company specializing in lead generation and appointment setting. We provide sales and marketing solutions to businesses of all sizes. We believe that companies, regardless of their size and budget, should have access to the latest ideas and technologies for sales and marketing. That's where Saletancy comes in we are here for you! Saletancy was founded with the aim of offering affordable sales and marketing solutions for businesses of all sizes. Our mission is simple: to help you grow and truly prosper. If you have sales and marketing initiatives in mind but lack the expertise, resources, or budget, we've got you covered let us help you grow and thrive. We offer performance-based solutions to assist businesses in acquiring 'New Customers.' Saletancy is headquartered in Noida, India, with a dedicated and dynamic team always ready to deliver performance-driven results. Reach out to us at Saletancy Consulting Private Limited: H-107 H-Block, Sector-63, Ghaziabad, Uttar Pradesh, India. Key Responsibilities: 1. Design and Development: o Design, develop, and optimize large-scale data processing pipelines using Databricks on Azure. o Implement ETL processes to ingest and transform data from various sources into our data platform. o Develop scalable and efficient data models to support analytics and reporting needs. 2. Azure Integration: o Integrate Databricks with Azure services such as Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and Azure Machine Learning. o Utilize Azure DevOps for continuous integration and continuous deployment (CI/CD) of data solutions. 3. SaaS Product Exposure: o Collaborate with product teams to understand data requirements and integrate SaaS product data into the data platform. o Develop data solutions that support SaaS product analytics and reporting. 4. Performance Optimization: o Monitor and optimize the performance of data pipelines and queries. o Implement best practices for data governance, security, and compliance. 5. Collaboration and Leadership: o Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions. o Mentor and guide junior engineers, promoting best practices and knowledge sharing within the team. 6. Documentation and Reporting: o Maintain comprehensive documentation of data engineering processes, designs, and solutions. o Generate reports and dashboards to provide insights into data platform performance and usage. Qualifications: Education: o Bachelors or Masters degree in Computer Science, Engineering, or a related field. Experience: o Minimum of 8-10 years of experience in data engineering or related roles. o Extensive experience with Databricks and Azure. o Proven experience with SaaS products and integrating their data into data platforms. Technical Skills: o Proficiency in Spark, SQL, Python, and Scala. o Strong understanding of Azure services and architecture. o Experience with data warehousing, ETL/ELT processes, and data modeling. o Knowledge of CI/CD practices and tools, particularly Azure DevOps. Soft Skills: o Excellent problem-solving and analytical skills. o Strong communication and collaboration abilities. o Ability to work independently and lead projects. Preferred Qualifications: Certifications in Databricks, AWS, Azure, or related Cloud technologies. Experience with machine learning and AI integration. Familiarity with data visualization tools like Power BI or Tableau. Benefits: Competitive salary and performance-based bonuses. Comprehensive health insurance including Parents Complementary Buffet Meal Everyday Professional development opportunities and continuous learning. Join our team and contribute to the development of high-quality business applications. .
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.
