10+ Snow flake schema Jobs in Pune | Snow flake schema Job openings in Pune

About the Role

We are looking for an experienced Snowflake Architect with 10+ years of overall IT experience and strong expertise in designing, implementing, and optimizing enterprise-scale data platforms using Snowflake. The ideal candidate will have a deep understanding of cloud data warehousing, data architecture, ETL/ELT frameworks, and data engineering best practices. This role requires close collaboration with business stakeholders, data engineers, architects, and analytics teams to build scalable, secure, and high-performing data solutions.

Key Responsibilities

·      Design and implement scalable, secure, and high-performance data architectures using Snowflake.

·      Define enterprise data models, data warehouse architecture, and best practices for data governance.

·      Design and optimize ELT/ETL pipelines for structured and semi-structured data.

·      Lead Snowflake implementation, migration, and modernization initiatives.

·      Optimize Snowflake performance, query execution, clustering, partitioning, and cost management.

·      Design data integration solutions using cloud-native and third-party ETL tools.

·      Establish security frameworks, role-based access control (RBAC), data masking, and governance policies. 

·      Collaborate with Data Engineers, BI Developers, Data Scientists, and business stakeholders to deliver end-to-end data solutions.

·      Conduct architecture reviews, performance tuning, and capacity planning.

·      Mentor technical teams and establish development standards and best practices.

·      Support CI/CD implementation and DevOps practices for data platforms.

·      Prepare technical documentation, architecture diagrams, and solution design documents. 

Required Skills & Experience

·      10+ years of overall IT experience with at least 5+ years of hands-on experience in Snowflake architecture and implementation.

·      Strong expertise in Snowflake Data Cloud architecture and administration.

·      Experience designing enterprise-scale data warehouse and lakehouse solutions.

·      Strong SQL programming and query optimization skills.

·      Experience with ETL/ELT tools such as Matillion, dbt, Informatica, Talend, Fivetran, or Azure Data Factory.

·      Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

·      Hands-on experience with data modeling techniques (Star Schema, Snowflake Schema, Data Vault, Dimensional Modeling).

·      Experience with performance tuning, workload optimization, and Snowflake cost optimization.

·      Knowledge of data security, governance, encryption, and compliance best practices.

·      Experience with Git, CI/CD pipelines, and Agile development methodologies. 

Preferred Skills

·      Snowflake certifications (SnowPro Core or SnowPro Advanced).

·      Experience with Python, Scala, or Java for data engineering tasks. 

·      Knowledge of Apache Spark, Kafka, or other big data technologies.

·      Exposure to Power BI, Tableau, or other BI and visualization tools.

·      Experience working with large-scale enterprise data migration projects.

·      Understanding of DataOps and MLOps practices. 

Educational Qualification

·      Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

·      Strong analytical and problem-solving skills.

·      Excellent communication and stakeholder management abilities.

·      Proven experience in leading architecture discussions and technical solution design.

·      Ability to mentor teams and drive technical excellence.

·      Self-driven, proactive, and capable of working effectively in a remote environment.

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

Visionyle is Hiring for UK Based Company- Lead Data Architect 

Role:

· Lead Data Architect Snowflake

Job Location: Mumbai, Pune

Experience: 15-25 yrs

Client: Capita

Job Type: FTE

Job Description: 

· Mandatory Skills:

Data Architecture, Microsoft Azure, Databricks, Snowflake, Azure Synapse Analytics, Data Modelling, Application Integration, Presales.

· Good to Have Skills:

Microsoft Fabric, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure

· Experience in end-to-end project all aspects of our delivery right from initiating a project from technology side, initiating a project meaning understanding the requirements from stakeholder, designing architecture in it right up to production and production support organization, support, pre-sales, estimations, costing.

Certifications:

Candidates possessing one or more of the following certifications will be highly preferred:

• Databricks Certified Data Engineer Associate or Professional

• Databricks Partner Solution Architect Champion

• SnowPro Advanced: Data Engineer

• SnowPro Advanced: Architect

• Microsoft Azure Certifications in Data Engineering, Artificial Intelligence (AI), or Solution Architecture.

Applicants holding any of the above certifications are encouraged to apply.

Roles & Responsibilities:

· The Lead Data Architect is responsible for providing strategic leadership and technical expertise in data architecture to drive innovation and excellence in solution delivery.

· With a focus in client satisfaction and project success, lead a team of data professionals, providing mentorship, guidance and support to ensure the successful execution of projects

Senior Data Engineer (Databricks, BigQuery, Snowflake)

Experience: 8+ Years in Data Engineering

Location: Remote | Onsite (Noida, Gurgaon, Pune, Nagpur, Jaipur, Gandhinagar)

Budget: Open / Competitive

Job Summary:

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data solutions that support advanced analytics and machine learning initiatives. You will lead the development of reliable, high-performance data systems and collaborate closely with data scientists to enable data-driven decision-making.

In this role, we expect a forward-thinking professional who utilizes AI-augmented development tools (such as Cursor, Windsurf, or GitHub Copilot) to increase engineering velocity and maintain high code standards in a modern enterprise environment.

Key Responsibilities:

• Scalable Pipelines: Design, develop, and optimize end-to-end data pipelines using SQL, Python, and PySpark.
• ETL/ELT Workflows: Build and maintain workflows to transform raw data into structured, analytics-ready datasets.
• ML Integration: Partner with data scientists to deploy and integrate machine learning models into production environments.
• Cloud Infrastructure: Manage and scale data infrastructure within AWS and Azure ecosystems.
• Data Warehousing: Utilize Databricks and Snowflake for big data processing and enterprise warehousing.
• Automation & IaC: Implement workflow orchestration using Apache Airflow and manage infrastructure as code via Terraform.
• Performance Tuning: Optimize data storage, retrieval, and system performance across data warehouse platforms.
• Governance & Compliance: Ensure data quality and security using tools like Unity Catalog or Hive Metastore.
• AI-Augmented Development: Integrate AI tools and LLM APIs into data pipelines and use AI IDEs to streamline debugging and documentation.

Technical Requirements:

• Experience: 8+ years of core Data Engineering experience in large-scale enterprise or consulting environments.
• Languages: Expert proficiency in SQL and Python for complex data processing.
• Big Data: Hands-on experience with PySpark and large-scale distributed computing.
• Architecture: Strong understanding of ETL frameworks, data pipeline architecture, and data warehousing best practices.
• Cloud Platforms: Deep working knowledge of AWS and Azure.
• Modern Tooling: Proven experience with Databricks, Snowflake, and Apache Airflow.
• Infrastructure: Experience with Terraform or similar IaC tools for scalable deployments.
• AI Competency: Proficiency in using AI IDEs (Cursor/Windsurf) and integrating AI/ML models into production data flows.

Preferred Qualifications:

• Exposure to data governance and cataloging tools (e.g., Unity Catalog).
• Knowledge of performance tuning for massive-scale big data systems.
• Familiarity with real-time data processing frameworks.
• Experience in digital transformation and sustainability-focused data projects.

Job Title: Lead Data Engineer

📍 Location: Pune

🧾 Experience: 10+ Years

💰 Budget: Up to 1.7 LPM

Responsibilities

• Collaborate with Data & ETL teams to review, optimize, and scale data architectures within Snowflake.
• Design, develop, and maintain efficient ETL/ELT pipelines and robust data models.
• Optimize SQL queries for performance and cost efficiency.
• Ensure data quality, reliability, and security across pipelines and datasets.
• Implement Snowflake best practices for performance, scaling, and governance.
• Participate in code reviews, knowledge sharing, and mentoring within the data engineering team.
• Support BI and analytics initiatives by enabling high-quality, well-modeled datasets.

Exp: 10+ Years

CTC: 1.7 LPM

Location: Pune

SnowFlake Expertise Profile

Should hold 10 + years of experience with strong skills with core understanding of cloud data warehouse principles and extensive experience in designing, building, optimizing, and maintaining robust and scalable data solutions on the Snowflake platform.

Possesses a strong background in data modelling, ETL/ELT, SQL development, performance tuning, scaling, monitoring and security handling.

Responsibilities:

* Collaboration with Data and ETL team to review code, understand current architecture and help improve it based on Snowflake offerings and experience

* Review and implement best practices to design, develop, maintain, scale, efficiently monitor data pipelines and data models on the Snowflake platform for

ETL or BI.

* Optimize complex SQL queries for data extraction, transformation, and loading within Snowflake.

* Ensure data quality, integrity, and security within the Snowflake environment.

* Participate in code reviews and contribute to the team's development standards.

Education:

* Bachelor’s degree in computer science, Data Science, Information Technology, or anything equivalent.

* Relevant Snowflake certifications are a plus (e.g., Snowflake certified Pro / Architecture / Advanced).

Job Title : Data Engineer – Snowflake Expert

Location : Pune (Onsite)

Experience : 10+ Years

Employment Type : Contractual

Mandatory Skills : Snowflake, Advanced SQL, ETL/ELT (Snowpipe, Tasks, Streams), Data Modeling, Performance Tuning, Python, Cloud (preferably Azure), Security & Data Governance.

Job Summary :

We are seeking a seasoned Data Engineer with deep expertise in Snowflake to design, build, and maintain scalable data solutions.

The ideal candidate will have a strong background in data modeling, ETL/ELT, SQL optimization, and cloud data warehousing principles, with a passion for leveraging Snowflake to drive business insights.

Responsibilities :

• Collaborate with data teams to optimize and enhance data pipelines and models on Snowflake.
• Design and implement scalable ELT pipelines with performance and cost-efficiency in mind.
• Ensure high data quality, security, and adherence to governance frameworks.
• Conduct code reviews and align development with best practices.

Qualifications :

• Bachelor’s in Computer Science, Data Science, IT, or related field.
• Snowflake certifications (Pro/Architect) preferred.

Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur

Notice period: Immediate - 15 days

1.      Python Developer with Snowflake

Job Description :

1. 5.5+ years of Strong Python Development Experience with Snowflake.
2. Strong hands of experience with SQL ability to write complex queries.
3. Strong understanding of how to connect to Snowflake using Python, should be able to handle any type of files
4.  Development of Data Analysis, Data Processing engines using Python
5. Good Experience in Data Transformation using Python. 
6.  Experience in Snowflake data load using Python.
7.  Experience in creating user-defined functions in Snowflake.
8.  Snowsql implementation.
9.  Knowledge of query performance tuning will be added advantage.
10. Good understanding of Datawarehouse (DWH) concepts.
11.  Interpret/analyze business requirements & functional specification
12.  Good to have DBT, FiveTran, and AWS Knowledge.