Job overview we are seeking a highly motivated professional to join our team as a data analyst. this role is integral to ensuring high availability, optimal performance, and minimal business disruptions for finance business intelligence (bi) applications....
Data engineer position we are looking for a highly skilled and motivated data engineer to join our team. the ideal candidate will have a strong background in data analysis and engineering, with excellent problem-solving skills and the ability to communicate complex technical concepts to both technical and non-technical stakeholders. the successful candidate will be responsible for designing, developing, and maintaining large-scale data systems, as well as working closely with cross-functional teams to identify business requirements and develop data-driven solutions....
Data engineer position we are seeking a highly skilled data engineer to join our team and play a leading role in designing, developing, and maintaining our scalable data infrastructure. this is an exceptional opportunity for a seasoned professional to leverage their expertise in python, snowflake, dbt (data build tools), dagster, docker, and kubernetes to create, containerize, deploy, and orchestrate efficient data pipelines that transform raw data into actionable insights. - develop and maintain data pipelines using python, snowflake, dbt (data build tools), and dagster to provide accurate and timely data insights to the business. - collaborate with cross-functional teams (data analysts, product managers) to understand data requirements and architect optimal solutions that meet business needs. - design, develop, and implement robust data governance, security best practices, and data quality checks to ensure high-quality data. requirements to be successful in this role, you will need: - bachelor's degree in computer science, information technology, or a related field (master's degree a plus) - 5+ years of experience as a data engineer or similar role - demonstrated expertise in sql, with a strong understanding of core functionalities (data retrieval, manipulation), advanced capabilities (subqueries, window functions), and performance optimization techniques - in-depth understanding of snowflake, including snowsql, virtual warehouses, security, and performance optimization - strong proficiency in python programming with experience in object-oriented programming (oop) a...
Job description: we are seeking a highly skilled and detail-oriented technology merger and acquisition (m&a;) analyst to join our team. this role will be responsible for screening acquired companies, facilitating communication between internal technical teams and business users from newly acquired firms, and organizing data templates for data migration. key responsibilities: - screening acquired companies: conduct thorough technical assessments of acquisition targets to evaluate their technology stacks, erp data structure, and data management practices. - technical due diligence: collaborate with sys admin and architecture teams to perform comprehensive technical due diligence, identifying potential risks, opportunities, and integration challenges. - stakeholder communication: establish effective communication channels between internal technical teams and business users from the newly acquired firm to ensure smooth information flow and alignment of expectations. - data migration planning: develop and implement data migration strategies, ensuring accurate and efficient transfer of data from the acquired company to our systems. - data template organization: organize and populate data templates for data migration, ensuring all relevant information is captured and correctly formatted. - integration support: provide ongoing support during the integration process, addressing any technical issues that arise and ensuring seamless integration of systems and processes. requirements: - professional-level fluency in english. - bachelor's degree in information systems, or related d...
Cloud data architecture consultant join us in shaping the future of cloud data architecture. as a cloud data architecture consultant, you will be working with customers to design and implement scalable, secure, and efficient data architectures that meet their business needs. about the role - we are looking for experienced professionals who can help our customers navigate the complexities of cloud data architecture. - you will work closely with cross-functional teams to understand customer requirements and develop tailored solutions. - your expertise in cloud computing, data management, and analytics will be instrumental in driving customer success. key responsibilities: 1. data architecture design: develop data architecture designs that meet customer requirements and align with business objectives. 2. implementation and migration: collaborate with customers to implement and migrate their data infrastructure to the cloud. 3. solution optimization: continuously optimize data architecture solutions to ensure they remain scalable, secure, and efficient. requirements: - 5+ years of experience in cloud computing, data management, and analytics. - proficiency in cloud platforms (aws, azure, google cloud) and data management tools. - strong understanding of data security, compliance, and governance. benefits: - opportunity to work with leading-edge technology and innovative customers. - collaborative and dynamic work environment. - professional growth and development opportunities. about us: we are a global leader in cloud computing, dedicated to helping organizations ha...
Job description about fullstack is one of the fastest-growing software consultancy companies in the americas. we deliver transformational digital solutions to top global companies and silicon valley startups. as an employee-first company, we focus on hiring the most talented candidates by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential. - offering life-changing career opportunities to talented software professionals across the americas. - building highly-skilled software development teams for hundreds of the world's greatest companies. - having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users. - our 4.2-star rating on glassdoor....
Cloud data architect role this position involves working closely with customers to design, implement and manage cloud-based solutions that meet their technical requirements and business objectives. you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. this includes helping the customer define and implement data architectures such as data lake, lake house, and data mesh. you will also engage with the customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment. the successful candidate will have 5+ years of experience in cloud architecture and implementation, preferably with amazon web services (aws). they will also have expertise in database management, including sql, nosql, hadoop, spark, kafka, and kinesis. additionally, they will have experience delivering cloud projects or cloud-based solutions, and be able to communicate effectively in english within technical and business settings. key responsibilities: - help the customer define and implement data architectures such as data lake, lake house, and data mesh. - engage with the customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment. - collaborate with aws field sales, pre-sales, training, and support teams to help partners and customers learn and use aws services such as athena, glue, lambda, s3, dynamodb, amazon emr, and amazon redshift. requirements: - 5+ years of...
Job title: advanced data solutions architect gorilla logic is looking for a highly skilled data solutions architect to assist in organizing system data into dashboards and reports. this is a unique and technical role requiring strong database and reporting experience in delivering leading-edge solutions. the environment requires effective collaboration with teammates, but success will be measured by critical thinking, self-motivation, enthusiasm, and determination. responsibilities: - act as a bridge between engineering and analytics to provide high fidelity data to the business - collaborate with the data team to build out a new etl process - work with the engineering team to build a new enterprise data warehouse (edw) - contribute to the governance strategy on the data platform - break down requirements and clarify critical use cases - support the data needs of multiple teams independently technical requirements: - experience in designing and building data pipelines using traditional elt/etl tools - knowledge of modern data engineering concepts, especially data ingestion, quality control, curation, and distribution - experience in traditional rdbms systems - proficiency in at least one cloud platform from aws - experience with tools similar to aws appflow for automating data flows between saas and aws services - experience in designing high-performance data pipelines - advanced sql skills - experience with event-driven architectures (pub/sub, kafka, rabbitmq, amqp, sns, etc…) - experience with big data infrastructure (e.g., snowflake or hadoop) - understanding of o...
About us we are a leading payment and fintech company operating in 50+ high-growth markets. our vision is to build a world without financial borders where everyone can prosper. our organization provides financial services and products in these high-growth markets, extending the reach of financial inclusion. about this role this position will be instrumental in designing and deploying advanced data science solutions to identify, analyze, and mitigate fraud and risks in the latin american market. - the ideal candidate will join a high-performing team of data scientists guiding the development of scalable, data-driven systems to safeguard our organization and customers from fraud. what you will do - lead technical initiatives within the data science team in fraud prevention for latin america, establishing standards for modeling and analytical rigor. - define technical strategies for key projects, mentor team members, and review model design, code, and evaluation methods. - collaborate with cross-functional teams to translate complex business problems into effective data science solutions. - design and deploy machine learning models for fraud detection, aligning innovation with business goals, robustness, and scalability. - develop and maintain data pipelines using tools like dbt and snowflake to ensure high-quality data for modeling and analytics. - create dashboards and monitoring tools in tableau, power bi, or kibana to facilitate data-driven decision-making and monitor fraud trends. requirements - bachelor's degree in engineering, mathematics, economics, statistics...
We're seeking a highly skilled senior data scientist with a focus on natural language processing (nlp) to drive ai initiatives within the american health industry. key responsibilities: 1. conduct thorough data exploration to validate nlp requirements and ensure data quality. 2. perform nlp pre-processing tasks, including tokenization, lexical, syntactic, semantic, and pragmatic analysis. 3. define and implement nlp models aligned with business outcomes. 4. contribute to building agentic intelligence systems and rag frameworks. 5. develop and manage ontologies for effective data utilization and understanding. 6. train and validate models through rigorous experimentation. 7. document development processes and results for stakeholders. 8. engage in text classification and sentiment analysis using traditional and deep learning models. 9. continuously evaluate and improve nlp model performance. required skills: - data science experience, especially in nlp projects. - proficiency in python and libraries like nltk, spacy, gensim. - knowledge of nlp techniques such as topic extraction, summarization, categorization, sentiment analysis. - experience with sequence-to-sequence models, topic modeling techniques like lda and nmf. - understanding of the entire data science pipeline and validation techniques. - awareness of ethical considerations in nlp. - strong problem-solving, creativity, and communication skills. - experience with international projects and cross-functional collaboration. benefits: we offer a comprehensive benefits package, including healthcare, meal vouchers, ...
About the role at yuno, we are building the payment infrastructure that enables all companies to participate in the global market. we offer a high-performance payment orchestrator, providing companies with access to leading payment capabilities. our technology offers seamless payment integrations worldwide, allowing companies to engage customers confidently and maintain global business operations. this is your chance to shape the future of payments as a data expert. your challenge at yuno 1. design and build performant and scalable data processing pipelines for large volumes of data. 2. implement any type of extraction (manuals, emails, sftp, apis) and build solutions for application integrations, task automation, and data automation using proven design patterns. 3. build and maintain the infrastructure required for extraction, loading, transformation, and storage of data from multiple data sources using custom scripts. 4. collaborate with the team to develop and maintain a robust and scalable data infrastructure to support our data needs. 5. implement and enforce data governance policies and best practices to ensure data quality, security, and compliance. 6. manage and optimize data warehousing solutions for efficient storage and retrieval of data. 7. develop and maintain data lake solutions for storing and managing diverse data types. 8. use big data technologies and frameworks to process and analyze large datasets efficiently. 9. work with distributed data systems and technologies to handle high volumes of data. required skills and qualifications 1. proven experie...
Job description: we are seeking a highly motivated and detail-oriented individual to join our team as an intern. as a member of our global business services division, you will play a vital role in supporting the development and implementation of various projects. your primary responsibilities will include assisting in the preparation of documents and reports, providing medical and scientific information, maintaining systems and spreadsheets, and engaging with local stakeholders. in addition, you will conduct analysis to form the basis of brand strategy, interface with cross-functional partners, report on findings, and lead strategic or tactical projects from start to finish. you will work closely with our team to ensure timely site initiation and coordination of clinical study agreement approvals. this is an excellent opportunity for individuals who are passionate about working in a structured environment with close supervision, following established procedures for assignments. required skills and qualifications:...
You will be working on key projects for leading organizations in data mining and knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and quantitative support to business and r&d; projects. requirements - recent graduates or final year students from disciplines related to mathematics, physics, statistics, econometrics, or other quantitative fields. - postgraduate studies and/or specialized courses are an asset, especially in data science, quantitative finance, or similar. - should ideally have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). - solid academic record. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility, and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - working on high-profile consulting projects in the industry, - for large companies, leaders of their respective markets, - alongside top industry management as they face challenges at the national and global level, - as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry. ongoing training plan we dedicate approximately 10% of our ...
About the role we are seeking a skilled and experienced data analyst to join our team. this is an exciting opportunity to work with large datasets, uncover insights, and drive business decisions. the ideal candidate will have strong analytical skills, excellent communication abilities, and experience working with data visualization tools. they will be responsible for extracting meaningful information from complex data sets, identifying trends, and creating actionable reports. this role offers a unique chance to work on diverse projects, collaborate with cross-functional teams, and contribute to the company's growth and success. key responsibilities - plan and conduct data analysis to support business decisions. - analyze large datasets to identify trends and patterns. - create data visualizations to communicate findings to stakeholders. - develop and maintain data models to ensure accurate and reliable results. - collaborate with cross-functional teams to implement data-driven solutions. requirements - proven experience in data analysis and interpretation. - excellent communication and presentation skills. - proficient in data visualization tools such as tableau or power bi. - strong understanding of statistical concepts and data modeling techniques. - ability to work in a fast-paced environment and meet deadlines. benefits - competitive salary and benefits package. - ongoing training and professional development opportunities. - collaborative and dynamic work environment. - opportunities for career growth and advancement. what we offer we offer a comprehensive r...
Cloud data architect opportunity we are seeking a skilled cloud data architect to join our team. this role involves designing and implementing scalable cloud-based data architectures, focusing on innovation and collaboration. key responsibilities include establishing complex data pipelines, working with stakeholders, and ensuring seamless end-to-end data solutions. to succeed in this position, you will need to demonstrate expertise in: - cloud-based data architecture design and implementation using azure data factory (adf) - data modeling, etl/elt development, and performance optimization in cloud-based environments - designing scalable data pipelines for real-time and batch processing using lambda and medallion architectures - hands-on experience with microsoft fabric for modern data warehousing and processing environments - advanced sql skills, including performance tuning, index optimization, and schema design additionally, you will be expected to lead the adoption of emerging technologies and maintain comprehensive documentation for data architectures and processes. the successful candidate will have a minimum of seven years of experience as a data engineer or in a similar role, with a strong focus on cloud-based solutions, particularly microsoft azure. they will also possess excellent communication skills, able to convey technical concepts effectively to both technical and non-technical stakeholders. this is an opportunity for a motivated professional to contribute to a thriving, data-driven environment. in addition to technical expertise, the ideal candidate w...
Job overview: the ideal candidate will partner closely with operations managers, customer service managers, and team leads to provide actionable insights, identify trends, and drive performance improvements. the successful candidate should have a strong analytical mindset, excellent communication skills, and the ability to work effectively in a collaborative environment. key responsibilities: - extract and transform raw data from different crms to generate kpi reporting using python, sql, bi tools, google suite, and microsoft office. - design, create, and maintain reports and dashboards to monitor business health metrics for both internal and external clients. - participate in the deployment and enforcement of data governance policies, ensuring the correct usage of the data warehouse. - generate data-driven decisions and business insights based on available and self-generated reporting. - manage effective, efficient, and empathetic communication with various stakeholders. - streamline existing processes and implement new initiatives. requirements: - knowledge of python, basic to intermediate level, with experience of 1-2 years programming involving the use of data science libraries such as pandas, matplotlib, seaborn, numpy, plotly, scikit-learn, scipy, datetime, json, os, and related. - sql, basic to intermediate level, with experience of 6 months to 1 year. - familiarity with data warehousing concepts, etl, and elt pipelines to ensure proper understanding of organizational data governance policies. - google sheets/excel, basic to intermediate level proficiency. - com...
As a data scientist consultant, you will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quantitative support to business and r&d; projects. key responsibilities - collaborate with cross-functional teams to drive business growth through data-driven insights. - develop and implement advanced statistical models to inform business decisions. - analyze complex data sets to identify trends and opportunities. requirements - recent graduates or final-year students from disciplines related to mathematics, physics, statistics, econometrics, or other quantitative fields. - postgraduate studies and specialized courses, especially in data science, quantitative finance, or similar, are highly valued. - knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering) and statistical programming languages (sas, r, python, matlab). - solid academic record and strong analytical skills. - ability to work independently and as part of a team. we offer - a dynamic and challenging work environment with opportunities for professional growth. - ongoing training and development programs to enhance your skills and expertise. - a collaborative and supportive team culture. career development - promotion based solely on merit and performance. - partnership-based management model offering opportunities for career advancement. additional experiences - strong ties with prestigious universit...
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