Snowflake Platform Engineer Job at Bright Vision Technologies

Data Engineer – Snowflake & ETL

We are seeking a Data Engineer in Hyderabad (WFO) with expertise in data enginee...

Location

India , Hyderabad

Salary:

Not provided

Right Angle Solutions

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience in data engineering, ETL, and Snowflake development
Proven expertise in Snowflake including SQL scripting, performance tuning, and data warehousing concepts
Hands-on experience with Matillion ETL for building and maintaining ETL jobs
Strong understanding of cloud platforms (AWS, Azure, or GCP) and cloud-based data architectures
Proficiency in SQL, Python, or other scripting languages for automation and data transformation
Experience with API integrations and data ingestion frameworks
Knowledge of data governance, security policies, and access control within Snowflake environments
Excellent communication skills with the ability to engage both business and technical stakeholders
Self-motivated professional capable of working independently and delivering projects on time
Qualification: BE/BS/MTech/MS or equivalent work experience

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Data Platform Engineer

Finaloop revolutionizes financial operations for eCommerce businesses! Our cutti...

Location

Israel , Tel Aviv

Salary:

Not provided

Finaloop

Expiration Date

Until further notice

Requirements

3+ years experience in data engineering or platform engineering roles
Strong programming skills in Python and SQL
Experience with orchestration platforms like Airflow/Dagster/Temporal
Experience with MPPs like Snowflake/Redshift/Databricks
Hands-on experience with cloud platforms (AWS) and their data services
Understanding of data modeling, data warehousing, and data lake concepts
Ability to optimize data infrastructure for performance and reliability
Experience working with containerization (Docker) in Kubernetes environments
Familiarity with CI/CD concepts
Fluent in English, both written and verbal

Job Responsibility

Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform
Develop and optimize data infrastructure to support real-time analytics and reporting
Implement data governance, security, and privacy controls to ensure data quality and compliance
Create and maintain documentation for data platforms and processes
Collaborate with data scientists and analysts to deliver actionable insights to our customers
Troubleshoot and resolve data infrastructure issues efficiently
Monitor system performance and implement optimizations
Stay current with emerging technologies and implement innovative solutions

Sr. Data Engineer - Snowflake

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team ...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, data warehousing, or data architecture
3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.)
Strong SQL and Python skills, with production experience using dbt
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.)
Prior experience in a consulting or client-facing delivery role
Excellent communication skills, with the ability to collaborate across technical and business stakeholders
SnowPro Core Certification required (or willingness to obtain upon hire)
advanced Snowflake certifications preferred

Job Responsibility

Design and build scalable, secure, and cost-effective data solutions in Snowflake
Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services
Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans
Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs)
Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake
Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks
Contribute to internal accelerators, frameworks, and proofs of concept
Mentor junior engineers and support knowledge sharing across the team

What we offer

Flexible Time Off Policy
Eligibility for Health Benefits
Retirement Plan with Company Match
Training and Certification Reimbursement
Utilization Based Incentive Program
Commission Incentive Program
Referral Bonuses
Work from Home

Fulltime

Machine Learning Platform / Backend Engineer

We are seeking a Machine Learning Platform/Backend Engineer to design, build, an...

Location

Serbia; Romania , Belgrade; Timișoara

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

4-5+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
Bachelors degree or equivalent focusing on the computer science field is preferred
Excellent communication and collaboration skills
Expert knowledge of Python
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Hands-on experience with Kubernetes, Docker, and cloud services
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
A demonstrated understanding of the ML lifecycle, model versioning, and monitoring
Experience with ML frameworks (e.g., TensorFlow, PyTorch)

Job Responsibility

Design, build, and maintain scalable infrastructure that empowers data scientists and machine learning engineers
Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure)
Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring
Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines
Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries)
Build out documentation in relation to architecture, policies and operations runbooks
Share skills, knowledge, and expertise with members of the data engineering team
Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience

Fulltime

Senior Data Platform Engineer

At Fever, our engineering team powers the technology behind our apps and website...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Expert in Python and frameworks like FastAPI or Django
Experience with Snowflake, PostgreSQL, and data management best practices
Familiar with IaC (Terraform), orchestration tools (Airflow, Metaflow), and CI/CD (Jenkins)
Experience with Kubernetes, Kafka, and GitOps tools like ArgoCD
Skilled in observability tools like Datadog, Grafana, and Prometheus
Strong communicator and team player in international, cross-functional environments
Proactive, adaptable, and solution-oriented
Fluent in English for effective communication

Job Responsibility

Build and maintain a scalable, reliable data platform
Implement data governance policies to ensure data quality, consistency, and security
Develop observability systems for platform monitoring and reliability
Build and automate infrastructure: data warehouses, lakes, pipelines, and real-time systems
Apply Infrastructure as Code (IaC) practices using tools like Terraform
Promote best practices for data engineering and platform operations
Build internal tools that simplify data-driven application development
Work with teams across the company to understand and meet data needs

What we offer

Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Home office friendly
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership

Fulltime

Snowflake Solutions Engineer

We are seeking an innovative Snowflake Solutions Engineer to join our growing IT...

Location

United States , Easton

Salary:

Not provided

Victaulic

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science or related technical field
At least 2 years of recent hands-on experience with Snowflake platform including advanced features
Minimum 3 years of experience in data engineering or solutions architecture roles
7-10 years of experience in Data Architecture/Engineering and/or BI in a multi-dimensional environment
Proven track record of developing data applications or analytical solutions for business users
Snowflake Expertise: Advanced knowledge of Snowflake architecture including data warehousing, data lakes, and emerging lakehouse features
Security and Governance: Deep understanding of RBAC, row-level security, data masking, and Snowflake security best practices
DevOps and CI/CD: Strong experience with GitHub, SnowDDL, automated deployment pipelines, and infrastructure as code
Application Development: Proficiency with Snowflake Streamlit for building interactive data applications
SQL Proficiency: Expert-level SQL skills with experience in complex analytical queries and optimization

Job Responsibility

Snowflake Native Application Development (30%): Design and develop interactive data applications using Snowflake Streamlit for self-service analytics and operational workflows that enable business users to interact with data through intuitive interfaces
Create reusable application frameworks and component libraries for rapid solution delivery
Integrate Snowflake Native Apps and third-party marketplace applications to extend platform capabilities
Develop custom UDFs and stored procedures to support advanced application logic and business rules
Data Architecture and Modern Platform Design (30%): Design and implement modern data architecture solutions spanning data warehousing, data lakes, and lakehouse patterns
Implement and maintain medallion architecture (bronze-silver-gold) patterns for data quality and governance
Evaluate and recommend architecture patterns for diverse use cases including structured analytics, semi-structured data processing, and AI/ML workloads
Establish best practices for data organization, storage optimization, and query performance across different data architecture patterns
AI Support and Advanced Analytics Collaboration (15%): Support AI and data science teams with Snowflake platform capabilities and best practices
Collaborate on implementing Snowflake Cortex AI features for business use cases

Fulltime

Big Data Platform Senior Engineer

Lead Java Data Engineer to guide and mentor a talented team of engineers in buil...

Location

Bahrain , Seef, Manama

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant hands-on experience developing high-performance Java applications (Java 11+ preferred) with strong foundation in core Java concepts, OOP, and OOAD
Proven experience building and maintaining data pipelines using technologies like Kafka, Apache Spark, or Apache Flink
Familiarity with event-driven architectures and experience in developing real-time, low-latency applications
Deep understanding of distributed systems concepts and experience with MPP platforms such as Trino (Presto) or Snowflake
Experience deploying and managing applications on container orchestration platforms like Kubernetes, OpenShift, or ECS
Demonstrated ability to lead and mentor engineering teams, communicate complex technical concepts effectively, and collaborate across diverse teams
Excellent problem-solving skills and data-driven approach to decision-making

Job Responsibility

Provide technical leadership and mentorship to a team of data engineers
Lead the design and development of highly scalable, low-latency, fault-tolerant data pipelines and platform components
Stay abreast of emerging open-source data technologies and evaluate their suitability for integration
Continuously identify and implement performance optimizations across the data platform
Partner closely with stakeholders across engineering, data science, and business teams to understand requirements
Drive the timely and high-quality delivery of data platform projects

Fulltime

Snowflake Platform Engineer

Bright Vision Technologies

Location:
United States

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
February 14, 2026

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