About Fusemachines
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, Dominican Republic) and more than 400 full time employees, Fusemachines seeks to bring its global expertise in AI to transform companies around the world.
About the role
Location : Remote (Contract). 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. The candidate will lead data engineers and data scientists on the team to achieve architecture and design objectives as agreed with stakeholders.
Qualification & Experience
- 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
Following certifications :
Microsoft Certified : Azure FundamentalsMicrosoft Certified : Azure Data Engineer AssociateMicrosoft Certified : Azure Solutions Architect Expert (nice to have)Databricks Certified Associate Developer for Apache SparkDatabricks Certified Data Engineer Associate (nice to have)Required Skills / Competencies
Strong programming skills in Python (must have), Scala, and proficiency in writing efficient and optimized code for data integration, storage, processing and manipulationExperience using Markdown to document code or automated documentation tools (e.g. PyDoc)Experience with Spark / PySpark (must have, Azure Databricks is a plus), DBT and Kafka, to handle large volumes of dataExpert in designing and implementing efficient ELT / ETL processes in Azure (experience with Azure Data Factory is a plus)Skilled in data integration from different sources such as APIs, databases, flat files, event streaming with Azure Data FactoryExpertise in data cleansing, transformation, and validationHands‑on experience with Jupyter Notebooks and python packaging and dependency management : Poetry, PipEnvProficiency with Relational Databases (Oracle, SQL Server, MySQL, Postgres, or similar) and NoSQL Databases (MongoDB or others)Good understanding of Data Modeling and Database Design PrinciplesStrong SQL skills and writing advanced SQL queriesExperience designing Data Warehousing solutions in Azure with Azure Synapse Analytics and / or SnowflakeFamiliarity with migration of code from SAS, R, Julia, SPSS to PythonProven technical leadership on prior Big Data projectsStrong understanding of the software development lifecycle (SDLC), especially Agile methodologiesKnowledge of SDLC tools and technologies Azure DevOps, Jira, Azure Boards, source code management (GitHub, Azure Repos, Bitbucket), CI / CD (GitHub Actions, Azure Pipelines, Jenkins)Understanding of DevOps principles, CI / CD, IaC, configuration management, automated testing, cost managementStrong knowledge of Microsoft Azure services related to data and analytics (Data Factory, Databricks, Synapse, Stream Analytics, Blob Storage, Data Lake Storage, SQL Database)Experience in orchestration using Apache AirflowStrong analytical skills to identify and address technical issues, performance bottlenecks, system failuresProficiency in debugging and troubleshooting issues in complex analytics environments and pipelinesGood understanding of Data Quality and Governance, with implementation of data quality checks and monitoringGood understanding of BI solutions including PowerBI and TableauKnowledge in containers (Docker, Kubernetes, etc.) is a plusEffective written and verbal communication skills for collaboration across teamsAbility to document processes, procedures, and deployment configurationsStrong leadership skills, assertivenessUnderstanding of Azure security practices, network security groups, Azure AD, encryption, complianceImplementing security controls and best practices for data and analytics solutionsWillingness to stay updated with latest Azure services, Data Engineering trends, best practicesWell organized, able to prioritize effectively in fast paced environmentTeam player, self‑motivated, independent, detail orientedCommitment to agility, continuous learning, adaptability to business needsResponsibilities
Lead engineers on the team to meet product deliverablesArchitect, design, develop, test, optimize and maintain high performance, large‑scale data architectures prioritizing best practices, for data intake, validation, mining, engineering for delivering data productsSupport data integration (batch and real‑time), storage, processing, and infrastructure to ensure scalability, reliability, and performance of data systemsProvide mentorship, coaching and guidance to junior data engineers and foster their professional growthCollaborate with cross‑functional teams (Product, Engineering, Data Scientists, Analysts, Cloud Architects, DevOps engineers) to drive discovery and requirements gathering for data management and business analyticsWork with the product management team to understand roadmap commitments and communicate design and implementation milestones effectivelyIdentify and solve code / design optimization challengesLearn and integrate with a variety of systems, APIs, and platformsEstablish a full‑proof QA process for data validations and overall quality control on the productContinuously evaluate and implement new technologies and tools; promote reusable componentsDesign, implement, and maintain data governance solutions; manage cataloging, lineage, data quality, and privacy effortsWork independently and collaboratively on a multi‑disciplined project team in an Agile development environmentDeliver on projects and initiatives that impact business development, client support, and operational areasContribute to continuous improvement activitiesStay updated on market trends and emerging technologiesEqual 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.
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