14248 Snowflake Jobs - Page 39

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Amazon Web Services (AWS) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will play a pivotal role in integrating, and maintaining the infrastructure needed to support data processing and analysis within the client ecosystem. You will collaborate with data scientists, analyst...

Job Title - S&C Global Network - AI - Merchandising Analytics - Analyst Management Level:11/9 Location:Bengaluru, BDC7C Must-have skills: Merchandising Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytic...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Arch...

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Da...

Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Data Technology, you are an integral part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Job Responsibilities Prioritized use cases by evaluating approved architecture standards, platform capabilities, and governance frameworks to scale onboarding on GenAI, ML, and Data platforms. Continuously participated in prototyping new technology to inform data technology teams...

Toast is driven by building the all-in-one restaurant platform that helps restaurants operate their business, increase sales, engage guests, and keep employees happy.Toast is looking for a Lead Analyst for our Fraud and Risk Data Team. This role will report into our Fraud Manager, but will serve some needs of our Credit Risk Team as well. This role will be responsible for owning our team's data strategy, providing data visualizations, and working closely with operational teams to understand monitoring needs. An ideal candidate wants to grow into a people and team leader at some point in the future to continue to grow this function. What You Will Do: Coordinate with the Fraud and Credit Risk ...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Senior Data/Analytics Engineer Type: Hourly contractor Compensation: $35$70/hour Location: Remote Commitment: 2040 hours/week Role Responsibilities Design, build, and maintain DBT models, macros, and tests following modular data modeling and semantic best practices. Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring a...

Experience- 7 years Serve as liaisons between end-users and consultants during the initial phase of IT and technology consulting projects. Define product requirements. Define specifications and data models for product development and testing. Use development specifications to create detailed test cases and analyze results. Assess available technologies and recommend solutions to the consulting team. May play a key role in the training of customer and technical support personnel. Career-Level position within the field. Requires experience and proficiency in discipline. Conducts complex work important to the organization. Works with minimal supervision with wide latitude for independent judgme...

Position Overview We are seeking an experienced Data Engineer to join our innovative data team data team and help build scalable data infrastructure, software consultancy, and development services that powers business intelligence, analytics, and machine learning initiatives. The ideal candidate will design, develop, and maintain robust high-performance data pipelines and solutions while ensuring data quality, reliability, and accessibility across the organization working with cutting-edge technologies like Python, Microsoft Fabric, Snowflake, Dataiku, SQL Server, Oracle, PostgreSQL, etc. Experience: 5 to 7 years Location: Bengaluru Employment Type: Full-time / Permanent Key Responsibilities...

Snowflake DBT Engineer total years of experience- 7+ years Location- Pune/Mumbai/Chennai/Bangalore Mandatory Skills(Please focus on this part): Snowflake- 6 years DBT-6 years Python-3 years Airflow:2 years Azure cloud exp is good to have Job Description: 5+ years of working experience in Snowflake, Databricks, DBT and Python on Azure/GCP/AWS in production environments and hands-on experience in developing moderate to complex ETL/ELT data pipelines Strong in Apache Spark and Delta Lake, strong SQL and Python abilities, experience with data engineering and ETL pipelines Advanced SQL in Snowflake (CTEs, Views, UDFs, Materialized Views) & DBT Partitioning, clustering, and performance tuning in S...

Key Responsibilities: Develop and troubleshoot end-to-end data pipelines using Matillion Cloud and Snowflake Optimize and tune performance of Matillion Cloud data pipelines Experience with Snowsql, Snowpipe is a plus

- Design and implement Snowflake data warehousing solutions based on business requirements and best practices. - Create and maintain data models, schemas, tables, and views in Snowflake. - Develop and optimize SQL queries for efficient data retrieval and manipulation. - Work closely with data engineers and architects to ensure seamless integration of data sources into Snowflake. - Collaborate with cross-functional teams to identify and resolve data quality and performance issues. - Monitor and optimize the performance of Snowflake clusters and query execution. - Implement and enforce security measures to protect sensitive data stored in Snowflake. - Stay updated with the latest Snowflake fea...

Job Title Matillion Senior Technical Lead Desired Profile: • Experience in end-to-end data pipeline development/troubleshooting using Snowflake and Matillion Cloud. • Experience in DWH, 2-4 years of experience in implementing DWH on Snowflake using Matillion. • Design, develop, and maintain ETL processes using Matillion to extract, transform, and load data into Snowflake and Develop and Debug ETL programs primarily using Matillion Cloud. • Collaborate with data architects and business stakeholders to understand data requirements and translate them into technical solutions. • We seek a skilled technical professional to lead the end-to-end system and architecture design for our application and...

The role is responsible for ensuring the integrity, governance, and efficient operation of the enterprise data platform. This includes leading the Data Review Meeting (DRM) process, defining data modelling and cataloguing standards, and serving as a key subject matter expert across core platform technologies such as Snowflake, AWS, and Glue. The position provides strategic oversight for project data assessments, ensuring data quality and alignment with platform principles. It also involves close collaboration with vendor teams to guide work execution and drive initiatives in line with leadership priorities. Additionally, the role supports infrastructure provisioning to enable a scalable, rel...

Overview Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor's Best Places to Work Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams. Scope Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis. Blu...

Req ID: 350231 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Engineer to join our team in Bengaluru, Karn?taka (IN-KA), India (IN). Develop and maintain ETL/ELT pipelines, queries, and transformations in Snowflake (and, as needed, Databricks notebooks or jobs) according to agreed design patterns and Framework 2.0 conventions. Implement medallion-layered data structures and reusable components that can be leveraged across multiple data products and domains. Assist in onboarding new data sources, mapping source ...

Job Title: Data Engineer Work Location: Bangalore, KA Skill Required: Digital : Snowflake~Digital : PySpark Experience Range: 4-6 years

About Us CoffeeBeans Consulting is a tech consulting firm focused on making organizations AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions. We specialize in data architecture, pipelines, governance, MLOps, and Gen AI solutions, helping clients achieve faster go-to-market and cost efficiency . We are looking for a Principal Engineer who can design and implement complex solutions that are scalable, future-proof and AI led. Key Responsibilities Solution Architecture Engage with clients to understand business goals, technical constraints, and AI/data maturity. Translate requirements into scalable solution blueprints across tech stack and infr...

About The Role We are seeking a skilled Data Engineer with strong experience in Databricks, Microsoft Fabric, or Snowflake , along with Power BI expertise , to design, build, and optimize scalable data pipelines and analytics solutions. You will also play a key role in enabling effective data visualization and reporting for business stakeholders. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Databricks, Fabric, or Snowflake. Build and optimize data workflows for performance, scalability, and cost efficiency in cloud environments (Azure/AWS/GCP). Implement and manage data lakes, data warehouses, or lakehouse architectures . Develop and maintain Power BI dashboards...

Job Title - Principal Data Scientist Job Location - Pune, Maharashtra Salary Budget - INR 55 lacs As part of our team, you'll be tasked with handling substantial datasets to develop machine learning models catering to our enterprise clients. Your role will also involve contributing to the development of foundational models for our product. To excel in this position, you should possess a strong analytical aptitude, with a deep understanding of data analysis, mathematics, and statistics. Critical thinking and problem-solving abilities are imperative for the interpretation of data. Furthermore, we value a genuine enthusiasm for machine learning and a commitment to research. Responsibilities Dev...

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econom...

Project Role : Custom Software Engineer Project Role Description : Utilize modular architectures, next-generation integration techniques and a cloud-first, mobile-first mindset to provide vision to Application Development Teams. Work with an Agile mindset to create value across projects of multiple scopes and scale. Must have skills : Business Requirements Analysis Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Custom Software Engineer, you will utilize modular architectures and next-generation integration techniques to provide vision to Application Development Teams. Your typical day will involve co...

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Java Full Stack Development Good to have skills : AWS Architecture, API Management Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :The mid-level Engineer is a key leadership role within the engineering team, responsible for overseeing and guiding complex technical projects, driving innovation, ...

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data...

About This Role About the Role The Full Stack Engineer builds end-to-end, AI-enabled research applications that deliver data, models, and insights seamlessly to investors and researchers. Embedded within a PMG research pod, this role works closely with the AI Lead, Solutions Lead, and Research Engineers to translate investor workflows into intuitive, interactive application experiences. Full Stack Engineers combine front-end and back-end development skills with an understanding of research needs to build applications that fit naturally into how investors conduct research. They integrate data, analytics, and AI capabilities into user interfaces that enhance investment decision-making. This ro...