Stay safe on Himalayas
Never send money to companies. Jobs on Himalayas will never require payment from applicants.
Please let Fusemachines know you found this job on Himalayas. This helps us grow!
Learn more about the company and their company culture.
Here are other jobs you might want to apply for.
FUFusemachines is a leading AI company focused on democratizing artificial intelligence and providing tailored solutions for enterprises worldwide.
Employee count: 201-500
Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world.
This is a full-time position responsible for leading, designing, building, and maintaining the infrastructure required for data integration, storage, processing, and analytics (BI, visualization and Advanced Analytics) using Microsoft Azure in the Media domain.
We are seeking a Lead Data Engineer with hands-on Python, Spark experience and proven abilities to lead software development on Data and Analytics products using Agile methodology. We are seeking a well-rounded senior data engineer to lead a cloud based Big Data product team using a variety of technologies. The ideal candidate will possess strong technical, analytical, and interpersonal skills. In addition, the candidate will lead data engineers, data scientists on the team to achieve architecture and design objectives as agreed with stakeholders.
Must have a full-time Bachelor's degree in Computer Science or similar from a top tier school.
4+ years of experience with Azure DevOps, Azure Cloud Platform, or other hyperscalers.
At least 4 years of experience as a data engineer with strong expertise in Azure, working on generation of big datasets using different data sources, in the Media industry.
Proven experience delivering projects and products for Data and Analytics as a data engineer.
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert: nice to have
Databricks Certified Associate Developer for Apache Spark
Databricks Certified Data Engineer Associate, nice to have
Strong programming Skills in one or more languages such as Python (must have), Scala, and proficiency in writing efficient and optimized code for data integration, storage, processing and manipulation.
Strong experience using Markdown to document code or automated documentation tools (e.g PyDoc).
Strong experience with scalable and distributed Data Processing Technologies such as Spark/PySpark (must have, experience with Azure Databricks is a plus), DBT and Kafka, to be able to handle large volumes of data.
Expert in designing and implementing efficient ELT/ETL processes in Azure (experience with Azure Data Factory is a plus) and using open source solutions being able to develop custom integration solutions as needed.
Skilled in Data Integration from different sources such as APIs, databases, flat files, event streaming, with technologies such as Azure Data Factory.
Expertise in data cleansing, transformation, and validation.
Hands-on experience with Jupyter Notebooks and python packaging and dependency management: Poetry, PipEnv.
Proficiency with Relational Databases (Oracle, SQL Server, MySQL, Postgres, or similar) and NonSQL Databases (MongoDB or Table).
Good understanding of Data Modeling and Database Design Principles. Being able to design and implement efficient database schemas that meet the requirements of the data architecture to support data solutions.
Strong understanding and experience with SQL and writing advanced SQL queries.
Strong experience in designing and implementing Data Warehousing solutions in Azure with Azure Synapse Analytics and/or Snowflake.
Familiarity with migration of code from one or more of SAS , R, Julia, SPSS to Python.
Proven technical leadership on prior Big Data projects.
Strong understanding of the software development lifecycle (SDLC), especially Agile methodologies.
Strong knowledge of SDLC tools and technologies Azure DevOps, including project management software (Jira, Azure Boards or similar), source code management (GitHub, Azure Repos, Bitbucket or similar), CI/CD system (GitHub actions, Azure Pipelines, Jenkins or similar) and binary repository manager (Azure Artifacts or similar).
Strong understanding of DevOps principles, including continuous integration, continuous delivery (CI/CD), infrastructure as code (IaC), configuration management, automated testing and cost management.
Strong knowledge in cloud computing specifically in Microsoft Azure services related to data and analytics, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics (formerly SQL Data Warehouse), Azure Stream Analytics, SQL Server, Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database, etc.
Experience in Orchestration using technologies like Apache Airflow
Strong analytical skills to identify and address technical issues, performance bottlenecks, and system failures.
Proficiency in debugging and troubleshooting issues in complex data and analytics environments and pipelines.
Good understanding of Data Quality and Governance, including implementation of data quality checks and monitoring processes to ensure that data is accurate, complete, and consistent.
Good understanding of BI solutions including PowerBI and Tableau.
Knowledge in containers and their environments (Docker, Podman, Docker-Compose, Kubernetes, Minikube, Kind, etc.) is a plus
Effective and strong written and verbal communication skills to collaborate with cross-functional teams, including data architects, DevOps engineers, data analysts, data scientists, developers, and operations teams, and ability to think strategically and work cross-functionally with multiple stakeholders and audiences.
Ability to document processes, procedures, and deployment configurations.
Possesses strong leadership skills with a willingness to lead, create Ideas, and be assertive
Understanding of Azure security practices, including network security groups, Azure Active Directory, encryption, and compliance standards.
Ability to implement security controls and best practices within data and analytics solutions, including proficient knowledge and working experience on various cloud security vulnerabilities and ways to mitigate them.
A willingness to stay updated with the latest Azure services, Data Engineering trends, and best practices in the field.
Must be well organized, comfortable working in a fast-paced environment, and able to prioritize effectively.
Ability to work and learn independently to answer questions, while maintaining attention to detail and quality.
Commitment to agility, continuous learning, and ability to adapt to changing business needs.
Lead engineers on the team to meet product deliverables.
Architect, design, develop, test, optimize and maintain high-performance, large-scale data architectures prioritizing best practices, for data intake, validation, mining, and engineering for delivering data products.
Support data integration (batch and real-time), storage, processing, and infrastructure and ensure scalability, reliability, and performance of data systems.
Provide mentorship, coaching and guidance to junior data engineers and foster their professional growth and development.
Collaborate with cross-functional teams (Product, Engineering, Data Scientists, Analysts, Cloud Architects, DevOps engineers) to drive discovery and requirements gathering for data management and business analytics efforts to meet product deliverables, supporting the implementation of code and procedures for data products.
Work with the product management team to understand the roadmap commitments and communicate design and implementation milestones effectively. Understanding data requirements, Interacting with a multi-disciplined team, and translating them into effective solutions.
Identify and solve code/design optimization.
Learn and integrate with a variety of systems, APIs, and platforms.
Establish a full-proof QA process for data validations and overall quality control on the Product.
Continuously evaluate and implement new technologies and tools. Promote the development of reusable components.
Design, implement, and maintain data governance solutions. Manage cataloging, lineage, data quality (enhancing data accuracy), and governance frameworks. Implement data validation and quality assurance processes. Lead data security and privacy efforts.
Work independently and collaboratively on a multi-disciplined project team in an Agile development environment, actively participating in Agile ceremonies.
Work on a Scrum team to deliver on projects and initiatives that impact business development, client support, business management, investment management, and all functional areas of the organization.
Contribute to continuous improvement activities.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
Contractor
Argentina +/- 0 hoursLearn more about Fusemachines and their company culture.
Fusemachines is an innovative leader in the field of Artificial Intelligence, providing cutting-edge AI products and solutions to a wide range of industries. Established in 2013, Fusemachines has dedicated over a decade to transforming enterprises by leveraging its proprietary AI technologies and tailored solutions. Our mission is to 'Democratize AI' by making advanced technology accessible to everyone, particularly underserved communities. We believe that AI has the potential to revolutionize industries, enhance efficiency, and create new opportunities for growth and innovation.
Our flagship offering, the Fusemachines AI Studio™, is designed to empower enterprises to develop, launch, and manage AI applications using our GenAI Engines™ and Predictive AI Engines™. These tools enable organizations to streamline their data processes, improve decision-making, and create personalized customer experiences. Through our comprehensive AI transformation journey, we assist businesses in enhancing their operational capabilities while nurturing AI talent from diverse backgrounds. Under the leadership of Dr. Sameer Maskey, our founder and CEO, we are not only striving to provide AI solutions but also contributing to AI education and job opportunities across the globe.
FU201-500 employees
2013
Dr. Sameer Maskey
Explore the variety of open remote roles at Fusemachines, offering flexible work options across multiple disciplines and skill levels.
Find your next opportunity by exploring profiles of companies that are similar to Fusemachines. Compare culture, benefits, and job openings on Himalayas.
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
IN
OA
ASFind your next opportunity by exploring profiles of companies that are similar to Fusemachines. Compare culture, benefits, and job openings on Himalayas.
InfuseAI builds MLOps tools to streamline ML and data workflow.
Obviously AI is a no-code AI platform that enables businesses to build and deploy predictive machine learning models quickly and without coding expertise. Their mission is to make AI accessible to every company, empowering non-technical users to make data-driven decisions.
AI Squared is a pioneering organization that is dedicated to revolutionizing the synergy between data and artificial intelligence (AI).
We are Strong. We build bespoke data science, machine learning, and artificial intelligence solutions.
DADatavise is a premier data analytics and AI solutions provider focused on empowering businesses through innovative technology.
Primer is a technology company specializing in machine learning and AI-driven solutions.
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
Argentina onlyJoin the remote work revolution
Join over 100,000 job seekers who get tailored alerts and access to top recruiters.
United States
Brazil only
Pakistan only
Colombia only
India only
Canada only
