Lead Data Engineer

Há 21 horas


Buenos Aires, Brasil Fusemachines Tempo inteiro
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, and Dominican Republic and more than 450 employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Location

Location: Remote (Full-time)

About The Role

This is a remote full-time position, responsible for designing, building, testing, optimizing and maintaining the infrastructure and code required for data integration, storage, processing, pipelines and analytics (BI, visualization and Advanced Analytics) from ingestion to consumption, implementing data flow controls, and ensuring high data quality and accessibility for analytics and business intelligence purposes. This role requires a strong foundation in programming, and a keen understanding of how to integrate and manage data effectively across various storage systems and technologies.

We\'re looking for someone who can quickly ramp up, contribute right away and lead the work in Data & Analytics, helping from backlog definition, to architecture decisions, and lead technical the rest of the team with minimal oversight.

We are looking for a skilled Sr. Data Engineer/Technical Lead with a strong background in Python, SQL, Pyspark, Redshift and AWS cloud-based large scale data solutions with a passion for data quality, performance and cost optimization. The ideal candidate will develop in an Agile environment, and would have GCP experience too, to contribute to the migration from AWS to GCP.

This role is perfect for an individual passionate about leading, leveraging data to drive insights, improve decision-making, and support the strategic goals of the organization through innovative data engineering solutions.

Qualifications / Skill Set
  • Must have a full-time Bachelor\'s degree in Computer Science Information Systems, Engineering, or a related field
  • 5+ years of real-world data engineering development experience in AWS and GCP (certifications preferred). Strong expertise in Python, SQL, PySpark and AWS in an Agile environment, with a proven track record of building and optimizing data pipelines, architectures, and datasets, and proven experience in data storage, modeling, management, lake, warehousing, processing/transformation, integration, cleansing, validation and analytics
  • Senior person who can understand requirements and design end to end solutions with minimal oversight
  • Strong programming Skills in one or more languages such as Python, Scala, and proficient in writing efficient and optimized code for data integration, storage, processing and manipulation
  • Strong knowledge SDLC tools and technologies, including project management software (Jira or similar), source code management (GitHub or similar), CI/CD system (GitHub actions, AWS CodeBuild or similar) and binary repository manager (AWS CodeArtifact or similar)
  • 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 SQL skills and experience working with complex data sets, Enterprise Data Warehouse and writing advanced SQL queries. Proficient with Relational Databases (RDS, MySQL, Postgres, or similar) and NonSQL Databases (Cassandra, MongoDB, Neo4j, etc.)
  • Skilled in Data Integration from different sources such as APIs, databases, flat files, event streaming.
  • Strong experience in implementing data pipelines and efficient ELT/ETL processes, batch and real-time, in AWS and using open source solutions, being able to develop custom integration solutions as needed, including Data Integration from different sources such as APIs (PoS integrations is a plus), ERP (Oracle and Allegra are a plus), databases, flat files, Apache Parquet, event streaming, including cleansing, transformation and validation of the data
  • Strong experience with scalable and distributed Data Technologies such as Spark/PySpark, DBT and Kafka, to be able to handle large volumes of data
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc. is a plus
  • Strong experience in designing and implementing Data Warehousing solutions in AWS with Redshift. Demonstrated experience in designing and implementing efficient ELT/ETL processes that extract data from source systems, transform it (DBT), and load it into the data warehouse
  • Strong experience in Orchestration using Apache Airflow
  • Expert in Cloud Computing in AWS, including deep knowledge of a variety of AWS services like Lambda, Kinesis, S3, Lake Formation, EC2, EMR, ECS/ECR, IAM, CloudWatch, etc
  • 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 Looker and LookML (Looker Modeling Language)
  • Strong knowledge and hands-on experience of DevOps principles, tools and technologies (GitHub and AWS DevOps) including continuous integration, continuous delivery (CI/CD), infrastructure as code (IaC – Terraform), configuration management, automated testing, performance tuning and cost management and optimization
  • Good Problem-Solving skills: being able to troubleshoot data processing pipelines and identify performance bottlenecks and other issues
  • Possesses strong leadership skills with a willingness to lead, create Ideas, and be assertive
  • Strong project management and organizational skills
  • Excellent communication skills to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data analyst, data scientists, developers, and operations teams. Essential to convey complex technical concepts and insights to non-technical stakeholders effectively
  • Ability to document processes, procedures, and deployment configurations
Responsibilities
  • Design, implement, deploy, test and maintain highly scalable and efficient data architectures, defining and maintaining standards and best practices for data management independently with minimal guidance
  • Ensuring the scalability, reliability, quality and performance of data systems
  • Mentoring and guiding junior/mid-level data engineers
  • Collaborating with Product, Engineering, Data Scientists and Analysts to understand data requirements and develop data solutions, including reusable components
  • Evaluating and implementing new technologies and tools to improve data integration, data processing and analysis
  • Design architecture, observability and testing strategies, and building reliable infrastructure and data pipelines
  • Takes ownership of storage layer, data management tasks, including schema design, indexing, and performance tuning
  • Swiftly address and resolve complex data engineering issues, incidents and resolve bottlenecks in SQL queries and database operations
  • Conduct Discovery on existing Data Infrastructure and Proposed Architecture
  • Evaluate and implement cutting-edge technologies and methodologies and continue learning and expanding skills in data engineering and cloud platforms, to improve and modernize existing data systems
  • Evaluate, design, and implement data governance solutions: cataloging, lineage, quality and data governance frameworks that are suitable for a modern analytics solution, considering industry-standard best practices and patterns.
  • Define and document data engineering architectures, processes and data flows
  • Assess best practices and design schemas that match business needs for delivering a modern analytics solution (descriptive, diagnostic, predictive, prescriptive)
  • Be an active member of our Agile team, participating in all ceremonies and continuous improvement activities
Equal Opportunity Employer

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.

#J-18808-Ljbffr
  • Data Engineer

    1 semana atrás


    Buenos Aires, Brasil Netrix Global Tempo inteiro

    Join to apply for the Data Engineer role at Netrix Global 3 days ago Be among the first 25 applicants Join to apply for the Data Engineer role at Netrix Global Netrix Global is looking for a Data Engineer for the Professional Services – Data Intelligence department. The Data Engineer will be responsible for identifying, creating, analyzing and...

  • Data Engineer

    Há 3 dias


    Buenos Aires, Brasil Ryz Labs Tempo inteiro

    Join to apply for the Data Engineer role at Ryz Labs . Ryz Labs is looking for a Data Engineer to help enhance and stabilize the data monitoring system for one of our biggest clients. The role focuses on building robust, scalable, and proactive alerting workflows to ensure high data quality and reliability across pipelines. You will collaborate with the...

  • Data Engineer

    Há 21 horas


    Buenos Aires, Brasil Yuno Tempo inteiro

    Join to apply for the Data Engineer role at Yuno . Remote, Latam • Full Time • Individual Contributor • Experience: +2 years Overview At Yuno, we are building the

  • Data Engineer

    4 semanas atrás


    Buenos Aires, Brasil Allata Tempo inteiro

    Join to apply for the Data Engineer (Databricks) role at Allata 1 day ago Be among the first 25 applicants Join to apply for the Data Engineer (Databricks) role at Allata Get AI-powered advice on this job and more exclusive features. Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help...

  • Data Engineer

    1 semana atrás


    Buenos Aires, Brasil Allata Tempo inteiro

    Join to apply for the Data Engineer (Databricks) role at Allata 1 day ago Be among the first 25 applicants Join to apply for the Data Engineer (Databricks) role at Allata Get AI-powered advice on this job and more exclusive features. Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help...

  • Lead Data Architect

    Há 13 horas


    Buenos Aires, Brasil beBeeData Tempo inteiro R$80.000 - R$120.000

    Job Overview:A Data Engineer role involves designing, developing and maintaining large-scale data systems. Key responsibilities include building scalable architectures, ensuring data quality, and collaborating with cross-functional teams to drive business outcomes.Required Skills:Experience with data engineering tools and technologiesStrong understanding of...

  • Data Engineer

    Há 3 dias


    Buenos Aires, Brasil Azumo Tempo inteiro

    Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . This role offers the opportunity to collaborate with a growing team of bright engineering minds in big data computing. The ideal candidate loves designing and developing scalable,...

  • Lead Data Engineer

    1 dia atrás


    Buenos Aires, Espírito Santo, Brazil Fusemachines Tempo inteiro

    About FusemachinesFusemachines 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 450 employees)....


  • Buenos Aires, Brasil beBeeData Tempo inteiro R$1.000.000 - R$1.500.000

    The Role of a Lead Data EngineerWe are seeking a highly skilled and experienced Data Engineer to lead our team in designing, building, testing, optimizing and maintaining the infrastructure and code required for data integration, storage, processing, pipelines and analytics from ingestion to consumption.Main Responsibilities:Design, implement, deploy, test...

  • AWS Data Engineer

    4 semanas atrás


    Buenos Aires, Brasil Ideamine Technologies (Acquired by Netrix Global) Tempo inteiro

    Join to apply for the AWS Data Engineer role at Ideamine Technologies (Acquired by Netrix Global) 1 day ago Be among the first 25 applicants Join to apply for the AWS Data Engineer role at Ideamine Technologies (Acquired by Netrix Global) About The OpportunityNetrix Global is looking for a About The OpportunityNetrix Global is looking for a AWS Data...