Senior Data Engineer

Posted about 2 months agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: Argentina

🔍 Industry: Nonprofit fundraising technology

🏢 Company: GoFundMe👥 251-500💰 Series A over 9 years ago🫂 Last layoff about 2 years agoInternet Crowdfunding Peer to Peer

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLAWS EKSETLJavaKubernetesSnowflakeC++AirflowREST APICollaborationTerraform

Requirements:

5+ years as a data engineer crafting, developing and maintaining business data warehouse alternatives consisting of structured and unstructured data.
Proficiency with building and orchestrating data pipelines using ETL/data preparation tools.
Expertise in orchestration tools like Airflow or Prefect.
Proficiency in connecting data through web APIs.
Proficiency in writing and optimizing SQL queries.
Solid knowledge of Python and other programming languages.
Experience with Snowflake is required.
Good understanding of database architecture and best practices.

Responsibilities:

Develop and maintain enterprise data warehouse (Snowflake).
Develop and orchestrate ELT data pipelines, sourcing data from databases and web APIs.
Integrate data from warehouse into third-party tools for actionable insights.
Develop and sustain REST API endpoints for data science products.
Provide ongoing maintenance and improvements to existing data solutions.
Monitor and optimize Snowflake usage for performance and cost-effectiveness.

Apply

Related Jobs

Apply

🔥 Senior Data Engineer

Posted 9 days ago

📍 South Africa, Mauritius, Kenya, Nigeria

🔍 Technology, Marketplaces

BSc degree in Computer Science, Information Systems, Engineering, or related technical field or equivalent work experience.
3+ years related work experience.
Minimum of 2 years experience building and optimizing ‘big data’ data pipelines, architectures and maintaining data sets.
Experienced in Python.
Experienced in SQL (PostgreSQL, MS SQL).
Experienced in using cloud services: AWS, Azure or GCP.
Proficiency in version control, CI/CD and GitHub.
Understanding/experience in Glue and PySpark highly desirable.
Experience in managing data life cycle.
Proficiency in manipulating, processing and architecting large disconnected data sets for analytical requirements.
Ability to maintain and optimise processes supporting data transformation, data structures, metadata, dependency and workload management.
Good understanding of data management principles - data quality assurance and governance.
Strong analytical skills related to working with unstructured datasets.
Understanding of message queuing, stream processing, and highly scalable ‘big data’ datastores.
Strong attention to detail.
Good communication and interpersonal skills.

Suggest efficiencies and execute on implementation of internal process improvements in automating manual processes.
Implement enhancements and new features across data systems.
Improve streamline processes within data systems with support from Senior Data Engineer.
Test CI/CD process for optimal data pipelines.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Highly efficient in ETL processes.
Develop and conduct unit tests on data pipelines as well as ensuring data consistency.
Develop and maintain automated monitoring solutions.
Support reporting and analytics infrastructure.
Maintain data quality and data governance as well as upkeep of overall maintenance of data infrastructure systems.
Maintain data warehouse and data lake metadata, data catalogue, and user documentation for internal business users.
Ensure best practice is implemented and maintained on database.

AWSPostgreSQLPythonSQLETLGitCI/CD

Posted 9 days ago

Apply

🔥 Senior Data Engineer

Posted about 2 months ago

📍 Brazil, Argentina

🧭 Full-Time

🔍 Manufacturing services

🏢 Company: Xometry👥 501-1000💰 $75,000,000 Series E over 4 years agoArtificial Intelligence (AI)3D Printing Industrial Engineering Software

Bachelor's degree required, or relevant experience.
3-5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment.
Cloud Data Warehouse experience - Snowflake.
Expert in SQL.
Expert in ETL, data modeling, and version control, dbt and GitHub preferred.
Data modeling best practices for transactional and analytical processing.
Experience with data extraction tools (Fivetran, Airbyte, etc.).
Experience with event tracking software (Segment, Tealium, etc).
Experience with programming language like Python, JavaScript.
Experience with Business Intelligence tools, Looker preferred.
Ability to communicate effectively and influence others.
Ability to work in a fast-paced environment and shift gears quickly.
Must be able to work core aligned hours to US Eastern Time / GMT-5.

Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross-functional team.
Build analytics models that utilize the data pipeline to provide actionable insights into key business performance metrics.
Develop data models for analytics and data scientist team members that assist them in building and optimizing data.
Maintain data pipelines and perform any changes or alterations as requested.
Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines.

PythonSQLBusiness IntelligenceETLJavascriptSnowflakeCollaborationCI/CDDevOps

Posted about 2 months ago

Apply

🔥 (830) Senior Data Engineer

Posted about 2 months ago

📍 LATAM

🔍 Staff augmentation

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

Bachelor's Degree in Computer Science, Engineering, or related field.
5+ Years of experience working in Data Engineering.
3+ Years of experience working with SQL.
3+ Years of experience working with Python.
2+ Years of experience working with Cloud.
2+ Years of experience working with Microservices.
2+ Years of experience working with Databases.
2+ Years of experience working with CI/CD tools.
Advanced English Level is required.

Write code to test and validate business logic in SQL and code repositories.
Test back-end API interfaces for the financial platform.
Build developer productivity tools.
Provide risk assessments on identified defects.
Define quality engineering scope and maintain automated scripts.
Participate in Scrum meetings for status updates.
Identify and clarify information needs.
Organize and resolve current backlog issues.

PythonSQLSCRUMData engineeringCI/CDMicroservices

Posted about 2 months ago

Apply

🔥 Senior Data Engineer PGD-19865

Posted 2 months ago

📍 Argentina, Colombia, Costa Rica, Mexico

🔍 Data Analytics

Proficient with SQL and data visualization tools (i.e. Tableau, PowerBI, Google Data Studio).
Programming skills mainly SQL.
Knowledge and experience with Python and/or R a plus.
Experience with Alteryx a plus.
Experience working with Google Cloud and AWS a plus.

Analyze data and consult with subject matter experts to design and develop business rules for data processing.
Setup and/or maintain existing dataflows in data wrangling tools like Alteryx or Google Dataprep.
Create and/or maintain SQL scripts.
Monitor, troubleshoot, and remediate data quality across marketing data systems.
Design and execute data quality checks.
Maintain ongoing management and stewardship of data governance, processing, and reporting.
Govern taxonomy additions, application, and use.
Serve as a knowledge expert for operational processes and identify improvement areas.
Evaluate opportunities for simplification and/or automation for reporting and processes.

AWSPythonSQLData AnalysisGCPMicrosoft Power BITableauAmazon Web ServicesData engineering

Posted 2 months ago

Apply

🔥 Senior Data Engineer

Posted 2 months ago

📍 Mexico, Gibraltar, Colombia, USA, Brazil, Argentina

🧭 Full-Time

🔍 FinTech

🏢 Company: Bitso

Proven English fluency.
3+ years professional working experience with analytics, ETLs, and data systems.
3+ years with SQL databases, data lake, big data, and cloud infrastructure.
3+ years experience with Spark.
BS or Master's in Computer Science or similar.
Strong proficiency in SQL, Python, and AWS.
Strong data modeling skills.

Build processes required for optimal extraction, transformation, and loading of data from various sources using SQL, Python, Spark.
Identify, design, and implement internal process improvements while optimizing data delivery and redesigning infrastructure for scalability.
Ensure data integrity, quality, and security.
Work with stakeholders to assist with data-related technical issues and support their data needs.
Manage data separation and security across multiple data sources.

AWSPythonSQLBusiness IntelligenceMachine LearningData engineeringData StructuresSparkCommunication SkillsData modeling

Posted 2 months ago

Apply

🔥 Senior Data Engineer, Data Services

Posted 5 months ago

📍 Central EU or Americas

🧭 Full-Time

🔍 Real estate investment

🏢 Company: Roofstock👥 501-1000💰 $240,000,000 Series E almost 3 years ago🫂 Last layoff almost 2 years agoRental Property PropTech Marketplace Real Estate FinTech

BS or MS in a technical field: computer science, engineering or similar.
8+ years technical experience working with data.
5+ years strong experience building scalable data services and applications using SQL, Python, Java/Kotlin.
Deep understanding of microservices architecture and RESTful API development.
Experience with AWS services including messaging and familiarity with real-time data processing frameworks.
Significant experience building and deploying data-related infrastructure and robust data pipelines.
Strong understanding of data architecture and related challenges.
Experience with complex problems and distributed systems focusing on scalability and performance.
Strong communication and interpersonal skills.
Independent worker able to collaborate with cross-functional teams.

Improve and maintain the data services platform.
Deliver high-quality data services promptly, ensuring data governance and integrity while meeting objectives and maintaining SLAs.
Develop effective architectures and produce key code components contributing to technical solutions.
Integrate a diverse network of third-party tools into a cohesive, scalable platform.
Continuously enhance system performance and reliability by diagnosing and resolving operational issues.
Ensure rigorous testing of the team's work through automated methods.
Support data infrastructure and collaborate with the data team on scalable data pipelines.
Work within an Agile/Scrum framework with cross-functional teams to deliver value.
Influence the enterprise data platform architecture and standards.

AWSDockerPythonSQLAgileETLSCRUMSnowflakeAirflowData engineeringgRPCRESTful APIsMicroservices

Posted 5 months ago

Apply

Senior Data Engineer

Requirements:

Responsibilities:

Related Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities