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About The Role: - Designing and implementing data models that align with business requirements; creating and managing database objects such as tables, views, and schemas within Snowflake. - Developing and maintaining ETL processes to move data into and out of Snowflake; integrating data from various sources, ensuring data quality, and transforming data to meet business needs. - Optimizing queries and data warehouse performance for efficiency and scalability; monitoring and troubleshooting performance issues to ensure optimal system responsiveness. - Implementing and managing security measures to protect data within Snowflake; setting up and maintaining user roles, privileges, and access controls to ensure data security and compliance. - Integrating Snowflake with other data sources and tools to facilitate seamless data flow and analysis; collaborating with other teams to ensure data integration aligns with overall business goals. - Automating routine tasks and processes to improve efficiency; orchestrating data workflows and dependencies to ensure timely and accurate data processing. - Monitoring system health, performance, and resource utilization; conducting regular maintenance tasks such as backups, updates, and patches to keep the system running smoothly. About You: - In-depth knowledge and hands-on experience with Snowflake architecture, features, and capabilities. - Proficiency in creating and managing data objects, such as databases, tables, and views in Snowflake. - Strong SQL skills for querying, data manipulation, and performance optimization within the Snowflake environment. - Experience in designing, developing, and maintaining ETL processes for data integration using tools like Snowflake's native features and Apache Airflow. - Knowledge of data modelling principles and experience in designing effective and productive data models. - Proficiency in scripting languages such as Python or Java for automating tasks and implementing custom solutions. - Knowledge of data security best practices and experience implementing security measures within Snowflake; understanding of compliance requirements relevant to the organization's industry. - Experience in automating routine tasks and orchestrating data workflows; familiarity with tools like Apache Airflow or similar workflow orchestration tools. - Ability to collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. - Strong problem-solving skills and the ability to troubleshoot complex data issues. - Effective communication and teamwork skills and possess the ability to communicate clearly and effectively in oral and written form. Role: Database Developer / Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate .
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.