Latest Employment Opportunities at Euclid Innovations | Snowflake Developer | Recruitment 2025 

Job Description

Snowflake developers are programmers who specialize in Snowflake software. Receives extensive training to ensure that they can deliver dependable and rapid performance regardless of the size. These tools can create applications that can be scaled up or down automatically, data pipelines that operate in the language of your choice with minimal infrastructure management, and ML workflows that operate more efficiently when data is accessed and processed rapidly in Python and SQL respectively.  

To analyse raw data and identify patterns and trends, Snowflake data engineers utilize algorithms that surpass the norm. They require a comprehensive understanding of SQL databases and a variety of computer languages.  

Developers of Snowflake may create applications that utilize a substantial amount of data and allow users to modify options for concurrency, scalability, and performance. The reaction times are consistently speedier, regardless of the level of demand, and there is both horizontal and vertical scalability. This is a result of the shared data architecture associated with multiple clusters. 

Salary	PERFORMANCE-BASED
Educational Requirement	Any Graduation & post-Graduation
Work Arrangement	Work From Office
Gender Preference	Both Male and Female
Skills Requirement	SQL Expertise, Data Warehousing, Snowflake Architecture, Snowflake Features (Streams, Tasks, Snowpipe, Time Travel, Zero-Copy Cloning), ETL/ELT Tools (dbt, Airflow, Matillion, Fivetran), Cloud Platforms (AWS, Azure, GCP), Performance Optimization, Version Control (Git), CI/CD Pipelines, Data Security & Governance, Role-Based Access Control, Data Masking, Scripting (Python, Java, Scala), Analytical Thinking, Problem-Solving, Debugging, Communication, and Collaboration.
Experience Requirement	0 – 5 years
Location	Bengaluru
Industry Type	IT Services & Consulting
Role Category	DBA / Data warehousing
Department	Engineering – Software & QA

 

key Responsibilities 

• Create, construct, and manage ETL/ELT pipelines in and out of Snowflake.  
• Create and manage Snowflake schemas, tables, views, materialised views, and clustering algorithms.  
• Optimize and modify SQL queries, evaluate query methodologies, and increase warehouse utilization.  
• Implement data transformations, business logic, and stored procedures (UDFs).  
• Snowflake accepts data from a diverse array of sources, like flat files, APIs cloud object storage, and streams. 
• Leverage the built-in capabilities of Snowflake, including Time Travel, Cloning, Snow , Zero-Copy Cloning and Streams and Tasks. 
• Ensure data integrity, consistency, validation, and quality control.  
• Develop organized datasets with collaboration with analytical, data science, and business intelligence teams. 
• Create and implement roles-based access control, row-level security, and masking policies.  
• Automate database object versioning, deployments, and CI/CD workflows.  
• Monitor usage, resource consumption, and expenses, and give suggestions for improvement.  
• Define data models, transformation logic, data contracts, and workflows.  
• Troubleshoot production issues, investigate root causes, and meet SLAs.  

Required Skills 

• window functions, CTEs, subqueries, Joins and query optimization are examples of advanced SQL capabilities 
• A thorough understanding of data warehousing concepts (star/snowflake schemas, OLAP, normalization/denormalization).  
• A complete understanding of the Snowflake architecture, including storage, compute separation, micro partitioning, and clustering.  
• Snowflake-specific capabilities include streams and tasks, snowpipes, time travel, and zero-copy cloning.  
• Experience using ETL/ELT tools and frameworks such as dbt, Airflow, Matillion, and Fivetran.  
• Experience with cloud platforms (AWS, Azure, or GCP) and connecting Snowflake with cloud storage services (S3, ADLS, GCS).  
• Ability to optimize cost vs. performance (right-sizing warehouses and eliminating overprovisioning)  
• Version control (Git) and CI/CD pipelines for database modifications.  
• Information regarding data security, governance, role-based access control, and masking  
• Scripting (Python, Java, or Scala) is useful, particularly when using Snowpark and automating tasks.  
• Analysis, troubleshooting, and debugging  
• Effective communication and teamwork – the capacity to transform corporate requirements into technical solutions.  

     

Eligibility criteria  

• A master’s degree in data science, analytics, or a related field.  
• Mathematics, software engineering, or another specific discipline. 
• Certifications such as SnowPro Core, SnowPro Advanced, and cloud certifications (AWS, Azure, and GCP) can help you progress your career.  
• Additional courses or training in data engineering, modeling, ETL technologies, and modern data platforms.  

Career opportunities for snowflake developer  

• Senior Snowflake Developer / Lead: manage modules, establish best practices, and mentor juniors.  
• Data Engineer / Senior Data Engineer:  A broad position that encompasses numerous platforms and pipeline disciplines.  
• Snowflake Architect / Cloud Data Architect: Create enterprise-scale frameworks, migration plans, and multi-cloud deployments.  
•  Head of Data Engineering/Platform: Lead oversees data strategy, tools, governance, and team leadership.  
• Analytics Engineering / BI Engineering : focuses on modeling, self-service analytics, and connecting the business and data domains.  
• Consultant / Specialist Contractor: advise or perform Snowflake migrations, optimization, or architecture for external clients.   

Perks and Benefits for snowflake developer

• Competitive pay, performance bonuses, and stock/equity options.  
• Flexible working hours, remote and hybrid job opportunities  
• Insurance to cover your health, dental, and medical requirements.  
• Training funding, certification support, and conference attendance.  
• Access to the latest cloud/data infrastructure and technology.  
• Paid vacations, fitness initiatives, and company outings.  
• Clearly defined career path, mentorship, and internal mobility.  
• Experience dealing with cutting-edge data architectures and large datasets.  

Challenges for snowflakes Developer  

• Snowflake and cloud data technologies advance rapidly.  
• Ensure query performance at scale: huge datasets necessitate significant optimization.  
• Cost-performance balancing inefficient configurations may result un high cloud prices.  
• Data consistency, freshness, and latency: real-time or near-real-time ingestion is challenging.  
• Integration of various inputs (old systems, streaming, APIs)  
• Manage schema changes during production (migrations and backward compatibility).  
• Security, governance, and compliance needs in regulated environments. 
• Debugging in dispersed cloud systems may make it harder to identify the main cause.  
• Aligning with business stakeholders and comprehending unclear requirements  

Frequently Asked Questions