19 Snowflake Jobs in Kochi

Role Overview: As a highly skilled Data Architect, you will be responsible for designing, developing, and maintaining end-to-end data architecture solutions using leading-edge platforms such as Snowflake, Azure, and Azure Data Factory (ADF). Your role will involve translating complex business requirements into scalable, secure, and high-performance data solutions to enable analytics, business intelligence (BI), and machine learning (ML) initiatives. Key Responsibilities: - Design and develop end-to-end data architectures for integration, storage, processing, and analytics utilizing Snowflake and Azure services. - Build scalable, reliable, and high-performing data pipelines using Azure Data Factory (ADF) and Snowflake to handle large volumes of data. - Create and maintain data models optimized for query performance and analytics with Azure Synapse Analytics and Azure Analysis Services (AAS). - Define and implement data governance standards, data quality processes, and security protocols across all data solutions. Cloud Data Platform Management: - Architect and manage data solutions on Azure Cloud, ensuring seamless integration with services like Azure Blob Storage, Azure SQL, and Azure Synapse. - Utilize Snowflake for data warehousing to ensure high availability, scalability, and performance. - Design data lakes and data warehouses using Azure Synapse to create architecture patterns for large-scale data storage and retrieval. Data Integration & ETL Development: - Lead the design and development of ETL/ELT pipelines using Azure Data Factory (ADF) to integrate data from various sources into Snowflake and other Azure-based data stores. - Develop data transformation workflows using Python and ADF to process raw data into analytics-ready formats. - Design and implement efficient ETL strategies using Python, ADF, and Snowflake. Analytics & Business Intelligence (BI): - Design and implement data models for BI and reporting solutions using Azure Analysis Services (AAS) and Power BI. - Create efficient data pipelines and aggregation strategies to support real-time and historical reporting across the organization. - Implement best practices for data modeling to support business decision-making with tools like Power BI, AAS, and Synapse. Advanced Data Solutions (AI/ML Integration): - Collaborate with data scientists and engineers to integrate machine learning (ML) and AI models into data pipeline architecture. - Optimize the data architecture for AI-driven insights and large-scale, real-time analytics. Collaboration & Stakeholder Engagement: - Work with cross-functional teams to understand data requirements and align with business goals. - Provide technical leadership, guiding development teams and ensuring adherence to architectural standards and best practices. - Communicate complex data architecture concepts to non-technical stakeholders, translating business needs into actionable solutions. Performance & Optimization: - Continuously monitor and optimize data solutions for fast, scalable data queries, transformations, and reporting functions. - Troubleshoot and resolve performance bottlenecks in data pipelines and architecture to ensure high availability. - Implement strategies for data archiving, partitioning, and optimization in Snowflake and Azure Synapse environments. Security & Compliance: - Design and implement robust security frameworks to protect sensitive data across Snowflake, Azure Synapse, and other cloud platforms. - Ensure data privacy and compliance with industry regulations (e.g., GDPR, CCPA) through necessary security controls and access policies. Qualification Required: - Proficiency in Snowflake, Azure databricks, and Python.,

As a Senior Software Developer/Engineer at our company, you will play a crucial role in designing, developing, and deploying end-to-end solutions using your expertise in .NET Core, React, SQL, and Azure Cloud. You will be responsible for following the full software development lifecycle (SDLC) and ensuring the delivery of high-quality code through CI/CD pipelines. Key Responsibilities: - Strong hands-on experience in C# and .NET Core - Proficient in React for frontend development - Solid experience with SQL databases - Designing and implementing REST APIs - Hands-on experience with Azure Cloud Computing - Familiarity with CI/CD pipelines (including ADO pipelines) - Proficient with version control systems like Git - Ability to take ownership and deliver end-to-end solutions - Excellent communication skills Qualifications Required: - Immediate to 15-day joining availability - Experience with hybrid work model, spending 3 days in-office In addition to the must-have skills, the following nice-to-have skills will be considered a plus: - Experience with AWS Cloud Computing - Experience working with Snowflake - Familiarity with code analysis tools The interview process will consist of 2 Technical Rounds and 1 Client Round. Join us and be part of a dynamic team where your skills in computing, cloud technologies, CI/CD pipelines, and code development will be put to great use.,

In this role as a Data Analytics professional at EY, you will play a crucial part in designing and implementing enterprise-grade Power BI solutions. Your responsibilities will include: - Designing and implementing complex dashboards, reports, and data models using Power BI. - Leading data modeling efforts using star/snowflake schemas and best practices in Power BI and SQL-based environments. - Writing optimized and complex SQL queries for data extraction, transformation, and loading from various sources. - Collaborating with data engineers, architects, and business stakeholders to design efficient and scalable BI architectures. - Defining and implementing data governance, data quality, and security measures such as Row-Level Security in Power BI. - Working closely with business users to gather and refine requirements to ensure dashboards meet user expectations and business objectives. - Optimizing Power BI performance through data modeling, query optimization, and incremental data refresh. - Staying updated on emerging trends in data analytics and visualization tools, especially within the Microsoft ecosystem. Required Skills: - 3 years of hands-on experience in Power BI development with advanced knowledge of Power Query (M language) and DAX. - Expert-level experience in SQL and working with relational databases such as SQL Server, Azure SQL, Oracle. - Deep understanding of data modeling techniques like normalized, denormalized, star schema, snowflake schema, etc. - Strong experience handling large datasets, building reusable datasets, and optimizing Power BI performance. - Knowledge of ETL processes, data integration, and data pipeline design; experience with tools like SSIS, Talend, or Azure Data Factory is a plus. - Exposure to cloud data platforms (Azure Synapse, Azure Data Lake) and Power Platform tools (Power Apps, Power Automate) is beneficial. - Excellent problem-solving, communication, and stakeholder management skills. - Ability to present complex data in a clear and concise manner to non-technical audiences. - Ability to work independently and as part of a team in a fast-paced environment. Preferred Qualifications: - Microsoft Certified: Power BI Data Analyst Associate (PL-300). - Experience with other data analytics or visualization tools like Tableau, Qlik is advantageous. - Experience in Agile/Scrum environments. - Familiarity with scripting languages (e.g., Python) or advanced analytics tools is a plus. - Prior experience in domain-specific analytics (e.g., finance, healthcare, supply chain) is an advantage. Please note that this position may require you to log in from the nearest office for at least 2 days a week as part of the latest Return to Office mandate, with the possibility of logging in from the base office (Kochi/Trivandrum) once a quarter if requested by management. Additionally, short-term business travel to the MENA region for project-related work may be required, with durations ranging from 1 to 3 months as needed. At EY, we are committed to building a better working world by creating new value for clients, people, society, and the planet. Our teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, providing services in more than 150 countries and territories.,

As a talented and experienced Power BI Lead Developer, you will be responsible for turning raw data into beautiful, insightful dashboards and reports that drive business decisions. Your passion for data storytelling, expertise in DAX, and ability to work magic with Power BI will be essential in this role. Key Responsibilities: - Drive the design, development, and delivery of high-quality, interactive Power BI dashboards and reports. - Collaborate directly with clients and stakeholders to gather requirements, propose solutions, and present insights. - Apply advanced DAX and data modeling to uncover deep business insights and enable decision-making. - Integrate and manage data from SQL, Azure, SharePoint, Excel, and other enterprise sources. - Ensure scalability, performance tuning, and role-based security for all Power BI solutions. - Manage end-to-end BI project execution, from discovery and planning to delivery and support. - Establish and enforce best practices in data visualization, documentation, and governance. - Conduct data cleansing, transformation, and modeling using Power Query (M language). - Represent the BI team in client discussions, demos, and strategic planning meetings. Required Qualifications: - 8+ years of experience in BI and analytics, and Power BI development. - Proven experience in client-facing roles, handling requirement discussions, solution demos, and stakeholder communication. - Expertise in DAX, Power BI data modeling, and performance optimization techniques. - Proven experience in Microsoft Fabric. - Advanced proficiency in Power Query (M), SQL, and working with large datasets. - Experience with Azure services, SharePoint, and other enterprise-grade platforms. - In-depth knowledge of Power BI administration, security, and workspace governance. - Excellent problem-solving, interpersonal, and presentation skills. - Experience managing BI projects in enterprise or consulting environments. Nice to Have: - Hands-on experience with Power Automate or Power Apps. - Familiarity with cloud data warehouses like Azure Synapse or Snowflake. - Microsoft certifications such as Data Analyst Associate (Power BI) or related credentials.,

As a Data Engineer at the company, you will play a crucial role in designing, developing, and maintaining scalable and efficient big data processing pipelines for distributed computing systems. You will collaborate with cross-functional teams to understand data requirements and design appropriate data solutions. Your key responsibilities will include: - Implementing data ingestion, processing, and transformation processes to support various analytical and machine learning use cases. - Optimizing and tuning data pipelines for performance, scalability, and reliability. - Monitoring and troubleshooting pipeline performance issues, identifying and resolving bottlenecks. - Ensuring data quality and integrity throughout the pipeline, and implementing data validation and error handling mechanisms. - Staying updated on emerging technologies and best practices in big data processing and analytics, and incorporating them into our data engineering practices. - Documenting design decisions, technical specifications, and data workflows. Qualifications required for this role include: - Expertise in Data modelling, Data warehousing concepts, data governance best practices, and ETL processes. - Understanding of distributed computing principles and experience with distributed data processing frameworks like Apache Spark or Hadoop. - Familiarity with containerization technologies like Docker and Orchestration tools like Kubernetes. - Ability to develop data models, schemas, and structures to support business needs. - Good understanding of a DW platform like Snowflake, RedShift, etc.,

As a Power BI expert at Datadivr located in Kochi SmartCity, you will play a crucial role in translating complex business requirements from food and beverage companies into impactful dashboards. Your expertise in data modeling, dashboard development, and client-facing interactions will be essential in solving operational challenges for global F&B brands. **Role Overview:** You will be responsible for developing high-quality Power BI dashboards, creating scalable semantic models, and collaborating with stakeholders to deliver actionable insights. This is a dynamic role that requires a deep understanding of data modeling principles, DAX, and SQL queries. **Key Responsibilities:** - Build production-grade Power BI dashboards with a focus on DAX implementation. - Transform raw datasets into clean, scalable semantic models using best practices. - Design star/snowflake models that are future-proof and work with SQL queries. - Run requirement-gathering calls with senior stakeholders and present dashboards effectively. - Maintain documentation, version control, and deployment checklists for delivery discipline. **Qualifications Required:** - 3+ years of experience building Power BI dashboards in a professional environment. - Strong understanding of DAX, Power Query (M), and data modeling principles. - Ability to optimize report performance and work with live data sources. - Strong communication skills to manage client discussions and stakeholder expectations. Datadivr offers a collaborative work environment where transparency, accountability, and ownership are valued. You will have the opportunity to work directly with the founder and contribute to real-world impact across global brands. If you are a seasoned Power BI expert looking for a high-impact role in a fast-paced environment, we encourage you to apply by sending your application to careers@datadivr.com with the subject line "Power BI expert.",

As a highly skilled Database Administrator with over 3 years of experience, your role will involve managing and optimizing the Snowflake data platform for our company. Your responsibilities will encompass performance tuning, security, data management, cost optimization, user access control, disaster recovery, and automation. Key Responsibilities: - Design and implement database structures - Monitor performance issues and tune queries - Manage security policies and ensure compliance - Support data pipelines and data governance - Create and manage user accounts and roles - Plan and execute disaster recovery strategies - Develop automation for routine tasks - Collaborate with cross-functional teams - Monitor database availability and troubleshoot issues Qualifications Required: - Strong understanding of Snowflake architecture - Deep knowledge of SQL for querying and performance tuning - Familiarity with cloud services like AWS - Proficiency in scripting languages such as Python or Bash - Knowledge of data security, encryption, and compliance frameworks - Strong analytical and problem-solving skills - Excellent communication and teamwork abilities Please note that this job is on a full-time, fixed-term contract basis in Kochi, Kerala.,

As a skilled Power BI Analyst with at least 3 years of experience in Power BI visualizations and a deep understanding of SQL, your role will involve creating interactive and insightful dashboards, optimizing data models, and ensuring data accuracy for business decision-making. Your strong analytical skills, business acumen, and ability to transform complex datasets into meaningful insights will be crucial for success in this role. - **Power BI Development & Visualization** - Design and develop interactive dashboards and reports in Power BI to provide actionable insights to business users. - Optimize data models, measures, and DAX calculations for efficient performance and accurate reporting. - Create visually compelling charts, graphs, and KPIs to enhance decision-making across various business functions. - Ensure the accuracy and consistency of reports by implementing data validation and cleansing techniques. - Collaborate with stakeholders to understand business requirements and translate them into impactful data visualizations. - **SQL & Data Management** - Write and optimize complex SQL queries to extract, manipulate, and analyze large datasets from multiple sources. - Troubleshoot and resolve SQL-related issues to maintain data integrity. - Assist in data modeling and ETL processes to enhance data pipeline efficiency. - Work with relational databases like SQL Server, PostgreSQL, MySQL, Snowflake, or Vertica. - **Collaboration & Stakeholder Management** - Partner with business teams to gather reporting needs and provide data-driven insights. - Offer training and support to business users on Power BI dashboard usage. - Collaborate with data engineers, analysts, and IT teams to improve data availability and quality. - **Qualifications & Experience:** - 3+ years of experience in Power BI development with strong expertise in DAX and Power Query. - Proficiency in SQL with the ability to write and optimize complex queries. - Strong understanding of data visualization best practices and dashboard performance optimization. - Hands-on experience working with large datasets and relational databases. - Experience integrating Power BI with different data sources (SQL Server, APIs, Excel, Cloud Data Warehouses, etc.). In this role, you will need to master Power BI for building interactive dashboards and reports, demonstrate expertise in handling complex SQL queries, leverage problem-solving skills, effectively communicate technical insights to non-technical stakeholders, maintain attention to detail for reporting accuracy, and apply business acumen to meet data-driven solutions.,

As a Power BI expert at Datadivr located in Kochi SmartCity, you will play a crucial role in transforming messy business requirements from food and beverage companies into clean, reliable dashboards. You will work on real operational problems across global F&B brands, including supply chain, quality, procurement, production planning, and sales intelligence. Your responsibilities will encompass the end-to-end BI lifecycle, from requirements gathering to deployment and training. Key Responsibilities: - Build production-grade Power BI dashboards with a focus on DAX-heavy development. - Convert raw datasets into clean, scalable semantic models. - Design star/snowflake models for future-proof data modelling. - Collaborate with ML/AI team to integrate model outputs into Power BI. - Run requirement-gathering calls with senior stakeholders and translate ambiguous inputs into clear specs. - Maintain documentation, version control, and deployment checklists. - Support UAT, QA, and production rollout. Qualifications Required: - 3+ years of experience building Power BI dashboards in a professional environment. - Strong understanding of DAX, Power Query (M), and data modelling principles. - Proven ability to optimize report performance. - Experience working with live data sources (SQL, APIs) and scheduled refreshes. - Ability to effectively communicate, manage client discussions, and deliver results in a timely manner. - Comfortable working in a fast-paced, high-ownership environment. If you join Datadivr, you will have the opportunity to work directly with the founder, enjoy ownership and autonomy from Day 1, make a real-world impact across global brands, be part of a seniors-only team with low politics and high trust, and have a clear career path towards becoming a Solution Architect as the company scales. Please send your application to careers@datadivr.com with the subject line "Power BI expert" for immediate consideration.,

Role Overview: As a Business Intelligence (BI) Developer with over 6 years of total experience, including a minimum of 4 years in relevant BI technologies, you will be responsible for independently handling BI development, reporting, and data modeling tasks. You should feel comfortable interacting with C-suite executives and stakeholders. Key Responsibilities: - Develop and maintain BI applications using SQL Server, Salesforce (SF), Google Cloud Platform (GCP), PostgreSQL, Power BI, and Tableau. - Strong understanding and hands-on experience with Data Modeling concepts such as Dimensional & Relational modeling, Star Schema and Snowflake Schema, and Fact and Dimension tables. - Translate complex business requirements into functional and non-functional technical specifications. - Collaborate effectively with business stakeholders and leadership. - Write optimized T-SQL, create User Defined Functions, Triggers, Views, Temporary Tables, and implement constraints and indexes using DDL/DML. - Design and develop SSAS OLAP Cubes and write complex DAX expressions. - Proficient in external tools like Tabular Editor and DAX Studio. - Customize and optimize Stored Procedures and complex SQL Queries for data extraction and transformation. - Implement Incremental Refresh, Row-Level Security (RLS), Parameterization, Dataflows, and Data Gateways in Power BI. - Develop and maintain SSRS and Power BI reports. - Optimize Power BI performance using Mixed Mode and Direct Query configurations. Qualifications Required: - Proficiency in Power BI and Power BI Tools (DAX, Dataflows, etc.). - Strong skills in Data Analysis. - Experience with Microsoft Fabric is a plus. Additional Details: The location for this position is in Bangalore, with a minimum of 4 years of relevant experience required. The notice period for this role is a maximum of 30 days.,

As a Data and Analytics (D And A) Senior specializing in Snowflake at EY, you will be a crucial part of the team helping clients solve complex business challenges through data and technology. Your role involves leading and architecting the migration of data analytics environments from Teradata to Snowflake, developing and deploying big data pipelines in a cloud environment, and optimizing model codes for faster execution. Your key responsibilities include: - Leading and Architecting migration of data analytics environment from Teradata to Snowflake with a focus on performance and reliability - Developing and deploying big data pipelines in a cloud environment using Snowflake cloud DW - Designing, developing, and migrating existing on-prem ETL routines to Cloud Service - Interacting with senior leaders to understand their business goals and contribute to the delivery of workstreams - Designing and optimizing model codes for faster execution To excel in this role, you should have hands-on experience in data warehousing, ETL, and Snowflake development. You should also be proficient in Snowflake modeling, integrating with third-party tools, and have experience in Snowflake advanced concepts such as setting up resource monitors and performance tuning. Additionally, you should have experience in object-oriented and functional programming styles using Java/Python for Big Data Engineering problems. Collaboration with cross-functional teams and continuous improvement of Snowflake products and marketing are also essential aspects of this role. To qualify for this position, you should be a computer science graduate or equivalent with 3-7 years of industry experience. Having working experience in an Agile-based delivery methodology is preferable. Strong communication skills, technical expertise in Snowflake, and the ability to deploy Snowflake following best practices are also necessary for this role. Ideally, you should have client management skills and a minimum of 5 years of experience as an Architect on Analytics solutions, with around 2 years of experience with Snowflake. EY values individuals with technical experience and enthusiasm to learn in a fast-paced environment. Working at EY offers you the opportunity to work on inspiring and meaningful projects, with a focus on education, coaching, and personal development. You will have the support, coaching, and feedback from engaging colleagues, along with opportunities to develop new skills and progress in your career. EY is dedicated to building a better working world by creating long-term value for clients, people, and society through diverse teams across the globe. Join EY and be part of a team that is committed to building trust in the capital markets and helping clients grow, transform, and operate through data and technology-driven solutions.,

As a Data Engineer at Viraaj HR Solutions, your role will involve the following responsibilities: - Designing and implementing data models in Snowflake for optimized storage and retrieval. - Developing ETL processes to ensure robust data integration pipelines. - Collaborating with data analysts and business stakeholders to gather requirements for data solutions. - Performing data profiling to understand data quality and cleanse data as necessary. - Optimizing query performance using Snowflake-specific features. - Monitoring data warehouse performance and troubleshooting any data-related issues. - Ensuring data security and compliance with company policies and regulations. - Creating and maintaining documentation for data processes and workflows. - Developing automated data workflows to reduce manual processing. - Participating in architecture discussions and contributing to the design of scalable data solutions. - Integrating Snowflake with other cloud services for enhanced data functionality. - Performing regular data backups and disaster recovery exercises. - Staying updated with the latest features and enhancements in Snowflake. - Training junior engineers and advocating for best practices in data engineering. - Contributing to the continuous improvement of data engineering processes. Qualifications required for this role include: - Bachelor's degree in Computer Science, Information Technology, or a related field. - Minimum of 3 years of experience as a Data Engineer or in a similar role. - Strong proficiency in Snowflake, with hands-on experience in designing data models. - Expertise in SQL and experience with querying large datasets. - Experience with ETL tools and data integration practices. - Familiarity with cloud services such as AWS, Azure, or GCP. - Knowledge of data warehousing concepts and best practices. - Proficiency in performance tuning and optimization techniques. - Excellent problem-solving and analytical skills. - Strong communication skills, both verbal and written. - Ability to work collaboratively in a team environment. - Familiarity with data visualization tools is a plus. - Experience in Agile methodologies is advantageous. - Certifications in Snowflake or data engineering are preferred. - Proactive approach in learning and implementing new technologies. Joining Viraaj HR Solutions as a Data Engineer will provide you with a unique opportunity to work on exciting data projects in a vibrant and innovative environment.,

As a Data Engineer at Accenture, you will be responsible for designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals. Your role will involve solving complex data problems to deliver insights that help the business achieve its goals. You will source data from various touchpoints, format and organize them into an analyzable format, create data products for analytics team members, and call AI services like vision and translation to generate outcomes for further pipeline steps. Additionally, fostering a culture of sharing, re-use, design, and operational efficiency of data and analytical solutions will be part of your responsibilities. You will also prepare data to create a unified database, build tracking solutions ensuring data quality, and create production-grade analytical assets deployed using CI/CD principles. **Key Responsibilities:** - Designing, developing, optimizing, and maintaining data pipelines following ETL principles and business goals - Solving complex data problems to deliver insights for business goals - Sourcing and organizing data from various touchpoints - Creating data products for analytics team members - Calling AI services like vision and translation for generating outcomes - Fostering a culture of sharing, re-use, design, and operational efficiency - Preparing data to build tracking solutions ensuring data quality - Creating production-grade analytical assets deployed using CI/CD principles **Qualifications Required:** - Expertise in Python, Scala, Pyspark, Pytorch, and at least two of Javascript - Extensive experience in data analysis in Big data environments like Apache Spark, data libraries like Pandas, SciPy, Tensorflow, Keras, and SQL - Experience with BI tools such as Tableau, Power BI, Looker - Good understanding of data analytics concepts, ETL, reporting, data governance, dealing with structured and unstructured data, and infrastructure needs - Hands-on experience in Microsoft Azure, AWS, Databricks, Snowflake Cloud Datawarehouse In addition, you should have experience working in cloud Data warehouses like Redshift or Synapse and hold certifications such as AWS certified data Analytics- Speciality, Microsoft certified Azure Data Scientist Associate, Snowpro core- Data Engineer, or Databricks Data Engineering. This job requires 3.5 - 5 years of experience and a Graduation degree.,

Role Overview: As a Senior Data Architect with over 10 years of experience, you will play a crucial role in designing and implementing scalable, high-performance data solutions using Snowflake. Your expertise in data architecture will be instrumental in leading data solutioning initiatives, ensuring data integrity, and collaborating with global teams to deliver enterprise-grade data platforms. Key Responsibilities: - Design and build data solutions utilizing Snowflake. - Lead the development of ETL processes and data pipelines. - Extract data from SAP BW/ECC systems. - Provide guidance and mentorship to the data team. - Optimize database performance and implement best practices. - Collaborate effectively with global teams during EST overlap hours. Qualification Required: - Hands-on experience with Snowflake. - Proficiency in Data Architecture and ETL processes. - Strong skills in SQL, Python/Java/Scala. - Demonstrated experience in large-scale data migration. - Familiarity with DataOps and data governance principles. Additional Company Details: The company is looking for individuals with experience in SAP BW/ECC and SAP ABAP, as well as knowledge of Tableau/Power BI and exposure to cloud platforms such as AWS, Azure, or GCP. Strong communication and leadership skills are considered advantageous for this role.,

Role Overview: You will be responsible for owning the technical design and delivery of a HIPAA-sensitive Snowflake + dbt data platform for a healthcare enterprise. Your role will involve translating business needs into a secure, cost-efficient, maintainable data architecture and leading two developers to implement it. Key Responsibilities: - Lead end-to-end design of the Snowflake data platform, including schema design, warehouses, resource monitors, roles, and sharing strategies. - Define and enforce dbt architecture & conventions such as models, macros, seeds, tests, and CI/CD. - Design secure ingestion patterns using Snowpipe, staged files, and connectors like Fivetran/Matillion, along with policies for PHI handling like masking, encryption, and RBAC. - Set up governance by implementing a data cataloging strategy, lineage, auditing, and cost monitoring. - Define a performance & cost optimization plan by implementing clustering keys, partitioning strategy, and scaling policies. - Create CI/CD pipelines for dbt + Snowflake deployments using Git, GitHub Actions, Azure DevOps, or Bitbucket pipelines. - Review code, mentor developers, perform design/code reviews, and lead discussions with stakeholders from security, compliance, and analytics teams. - Produce runbooks, operational documents, and incident procedures. Qualifications Required: - 7+ years of data engineering/architecture experience. - 3+ years of hands-on experience with Snowflake, including warehouses, Snowpipe, Tasks, Streams, Time Travel, and cloning. - 2+ years of experience in building production data transformations with dbt, including models, tests, snapshots, and macros. - Strong SQL mastery with the ability to write complex analytic queries and optimize them for Snowflake. - Experience with healthcare data standards such as HL7, FHIR, claims, and HIPAA compliance controls. - Experience with a cloud provider where Snowflake runs, like AWS, Azure, or GCP. - Familiarity with ETL/ELT tools like Fivetran, Matillion, Airbyte, and orchestration tools like Airflow and Prefect. - Experience in implementing RBAC, data masking, and access auditing. Additional Details: Omit this section as there are no additional details of the company mentioned in the job description.,

As a skilled Snowflake Engineer with 5 to 7 years of experience, your role at UST will involve contributing to the development and maintenance of efficient data solutions on the Snowflake cloud data platform. Your expertise in data engineering, Snowflake, and proficiency in data processing technologies, particularly PySpark, will be key in this role. Key Responsibilities: - Design, implement, and optimize data warehouses on the Snowflake platform. - Ensure effective utilization of Snowflake features for scalable and high-performance data storage. - Develop, implement, and optimize end-to-end data pipelines on Snowflake. - Create and maintain ETL workflows for seamless data processing. - Leverage PySpark for advanced data transformations within the Snowflake environment. - Implement data cleansing, enrichment, and validation processes using PySpark. Qualifications Required: - Proven experience as a Data Engineer, with a strong emphasis on Snowflake. - Proficiency in Snowflake features and capabilities for data warehousing. - Expertise in PySpark for data processing and analytics is a must. - Experience with data modeling, ETL processes, and efficient data storage. - Proficiency in programming languages such as Python, SQL, or Scala for data processing. In addition to the above, your skills in Snowflake and PySpark will be essential for success in this role.,

Role Overview: You will act creatively to develop applications by selecting appropriate technical options, optimizing application development, maintenance, and performance. You will interpret the application feature and component designs to develop them in accordance with specifications. Moreover, you will code, debug, test, document, and communicate product component and feature development stages. Key Responsibilities: - Interpret the application feature and component designs - Code, debug, test, document, and communicate product component and feature development stages - Validate results with user representatives and integrate and commission the overall solution - Select and create appropriate technical options for development, optimizing efficiency, cost, and quality - Influence and improve customer satisfaction and employee engagement within the project teams - Set FAST goals for yourself and the team; provide feedback to FAST goals of team members - Adhere to engineering process and standards (coding standards) - Adhere to project schedule and timelines - Identify technical issues during project execution - Address defects in the code and post-delivery - Ensure compliance with non-compliance issues - Complete mandatory compliance trainings on time Qualification Required: - Strong Python and SQL coding skills - Proficiency in Snowflake data platform concepts such as establishing RBAC controls, managing virtual warehouses, optimizing query performance, and utilizing advanced features - Experience standing up data platforms, either open source or integration of 3rd party cloud or SaaS services - Good understanding of distributed systems, APIs, cloud computing patterns, virtualization/containerization - Experience with infrastructure as code tools, CI/CD, and general DevOps practices - Familiarity with a variety of cloud-native data stores - Knowledge of cost management on the cloud, hybrid architectures, and multi-cloud environments - Good understanding of agile methodology and contribution to team success through participation in ceremonies - Proficient in source control (GitHub especially) and working on a shared codebase - Familiarity with security controls and experience interacting with information security teams - Undergraduate or higher-level education in a numerate or applied science subject, or relevant industry experience - Data engineering and Snowflake certifications - Experience with data platforms including cache management, scheduling, performance tuning, and data warehousing technology stacks Additional Details about UST: UST is a global digital transformation solutions provider that partners with clients from design to operation. With over 30,000 employees in 30 countries, UST embeds innovation and agility into their clients" organizations to make a boundless impact, touching billions of lives in the process.,

Role Overview: CookieYes is seeking a Data Analyst / Analytics Engineer to spearhead the development of a contemporary, privacy-centric analytics infrastructure that harmonizes product, marketing, and revenue data. As the chosen candidate, you will be responsible for the oversight of CookieYes" data ecosystem, ensuring its reliability, scalability, and provision of actionable insights to various teams. Your primary duties will include implementing, maintaining, and extending data pipelines, warehouses, and BI systems to empower the Product, Growth, and Finance teams in making informed decisions based on data. Key Responsibilities: - Data Infrastructure Ownership - Maintain and enhance a unified data architecture. - Manage data ingestion from key sources such as MySQL, Stripe, Mixpanel, and other product APIs. - Monitor pipeline health, resolve data discrepancies, and ensure accuracy. - Manage schema documentation, data lineage, and update transformations as business needs evolve. - Business Intelligence & Reporting - Own and maintain dashboards in Power BI, Looker Studio, or Fabric for cross-functional stakeholders. - Support business reporting across MRR, ARPU, churn, LTV, and funnel performance. - Build and automate self-serve dashboards for Product, Growth, and Finance. - Partner with leadership to define KPIs and build high-impact visualizations. - Product & Behavioral Analytics - Maintain product tracking setup in Mixpanel (or equivalent), ensuring consistent event taxonomy and validation. - Collaborate with Product and Engineering to track feature usage, adoption, and retention metrics. - Ensure alignment between product analytics and revenue data for end-to-end insights. - Data Governance & QA - Maintain event taxonomy, naming conventions, and data ownership per domain (Product, Growth, Finance). - Implement QA checks for key metrics and flag anomalies proactively. - Ensure compliance with GDPR and privacy-by-design principles in data handling. - Collaboration & Continuous Improvement - Partner with Product, Engineering, and Growth teams to identify new data needs and enable experimentation (A/B testing, feature flags). - Document data processes and contribute to knowledge sharing across teams. - Drive best practices for analytics reliability, validation, and reporting consistency. Qualification Required: - 3-5 years of experience in Data Analytics, BI, or Analytics Engineering (preferably in B2B SaaS). - Strong proficiency in SQL (joins, CTEs, window functions, query optimization). - Hands-on experience with ETL tools (e.g., dbt, Airbyte, Fivetran, or Apache Spark) and data warehouses (BigQuery, Redshift, Snowflake, or similar). - Skilled in Power BI, Looker Studio, or other BI tools for dashboarding and automation. - Strong communication skills with the ability to explain data concepts to non-technical stakeholders. Additional Details: Omit this section as there are no additional company details present in the job description.,

As the Marketing Automation Manager, you will be responsible for executing campaigns and initiatives across multiple marketing channels, with a focus on email marketing, marketing automation, and lead generation. You will work closely with the Brand Strategy team and other members of the marketing team to develop and execute campaigns that support our business objectives and drive revenue growth. - Develop and implement marketing automation strategies aligned with the business objectives and long-term customer acquisition and retention goals. - Collaborate with the marketing team to plan and execute marketing campaigns that leverage marketing automation capabilities. - Drive lead generation efforts by implementing effective strategies and tactics within marketing automation platforms. Create and optimize lead capture forms, landing pages, and lead scoring models to enhance lead quality and conversion rates. - Use analytical tools and data sources to track, analyze, and report on campaign performance, including metrics such as open rates, click-through rates, conversion rates, and overall campaign effectiveness. - Work closely with cross-functional teams, including sales, content, and design, to align marketing automation initiatives with overall marketing strategies. - Maintain knowledge of GDPR, PECR, and other relevant privacy regulations to ensure compliance with marketing automation practices. - Stay informed about marketing automation trends, tools, and best practices within the B2B technology industry. Conduct research and benchmarking to identify opportunities for innovation and optimization in marketing automation strategies and tactics. - Prior experience in marketing automation or digital marketing for a high-growth B2B technology business. - Hands-on experience in setting up automated campaigns using platforms like Hubspot, Salesforce, and similar marketing automation tools. - Expertise in implementing web tracking technologies such as Google Analytics, Mixpanel, Snowflake, etc. - Strategic mindset to help the business achieve long-term customer acquisition and retention goals. - Proven ability to translate complex data into actionable insights for stakeholders. - Ability to pivot quickly and make fast decisions based on changing needs in a high-growth environment. - Comfortable working under tight deadlines and strong attention to detail. - Excellent interpersonal, communication, and project management skills with the ability to prioritize tasks across multiple projects. - Knowledge of GDPR, PECR, and other relevant privacy regulations. Please note that Skills like GDPR, PECR, and Privacy are required for this role.,