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Location: Noida (In office) Experience: 7+ Years Employment Type: Full-time Blue Cloud is looking for a Senior Snowflake Data Engineer to design, build, and optimize enterprise-scale data platforms. If you're passionate about developing high-performance data pipelines, modernizing data architectures, and delivering cloud-native solutions, we'd love to hear from you. What You'll Do: Design, develop, and optimize scalable data pipelines and transformation workflows using Snowflake. Build robust ELT/ETL solutions leveraging SQL, Python, Snowpark, dbt, and Snowflake-native capabilities. Modernize existing data-processing pipelines using reusable engineering patterns and incremental processing. Implement Snowflake features such as Dynamic Tables, Streams, Tasks, and Stored Procedures. Improve platform performance and optimize costs through query tuning, clustering strategies, and warehouse optimization. Develop data models, orchestration frameworks, monitoring, testing, and data quality solutions. Integrate batch and real-time data using tools such as Fivetran, Kafka, Airflow, or similar technologies. Collaborate with architects, DevOps teams, and business stakeholders to deliver scalable, production-ready data solutions. Participate in technical design discussions, code reviews, Agile ceremonies, and continuous improvement initiatives. What We're Looking For: 7+ years of experience in Data Engineering with solid hands-on expertise in Snowflake. Strong technical expertise in: Snowflake & Snowpark Advanced SQL Python ELT/ETL Pipeline Development dbt Data Modeling Performance & Cost Optimization Experience with: Energetic Tables, Streams, Tasks, and Stored Procedures AWS, Azure, or GCP cloud platforms CI/CD, Git, and automated deployment practices Data orchestration, monitoring, and pipeline optimization Preferred Qualifications: Experience with Fivetran, Kafka, Airflow, or similar orchestration tools. Knowledge of Terraform or Infrastructure as Code (IaC). Experience with Snowflake Iceberg Tables or modern lakehouse architectures. Exposure to Snowflake Cortex capabilities. SnowPro Core or SnowPro Advanced Certification. If you're excited about building modern cloud data platforms and solving complex data engineering challenges, we'd love to hear from you. .
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.