AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLEWe are looking for a Data & Analytics Developer to build Power BI dashboards and reporting solutions that turn enterprise data into actionable business insights.The mandatory requirements are 4+ years of professional experience developing Power BI dashboards and reports, strong knowledge of Power BI data modeling and DAX, strong SQL skills, and experience with Snowflake or similar cloud-based enterprise data platforms and SAP-based source systems, along with an upper-intermediate English level.WHAT YOU WILL DO- Partner with business stakeholders to understand business processes, KPIs, data definitions, and analytical needs.- Design, develop, and maintain Power BI dashboards and reports that provide clear and actionable business insights.- Translate business requirements into appropriate data models, metrics, visualizations, and reporting solutions.- Work with IT and source-system owners to identify required data, understand source structures, and coordinate data availability.- Support the onboarding and integration of data into the enterprise data platform, including Snowflake and SAP HANA data sources.- Troubleshoot data and reporting issues across the complete flow from source system → data platform → semantic/model layer → Power BI.- Collaborate with business data owners and technical teams to improve data consistency, quality, and reliability.- Promote reusable data models, common KPI definitions, and scalable analytics solutions instead of isolated reports.- Provide guidance to stakeholders on effective data visualization and the use of analytics to support decision‑making.- Document data definitions, reporting logic, KPIs, and technical solutions.- Work in an Agile delivery environment and collaborate with distributed and remote teams.MUST HAVES- 4+ years of strong professional experience developing Power BI dashboards and reports.- Strong knowledge of Power BI data modeling, DAX, and visualization best practices.- Strong SQL skills and experience working with relational and analytical data.- Experience working with Snowflake or similar cloud‑based enterprise data platforms.- Experience working with SAP HANA, SAP data, or SAP‑based source systems.- Experience with data modeling, transformation, and integration concepts.- Strong business analysis and requirements‑gathering skills.- Ability to understand business processes and translate them into technical and data requirements.- Ability to work effectively with both business and technical stakeholders.- Understanding of data quality, data governance, KPI definitions, and data consistency.- Experience coordinating or supporting the onboarding of data from enterprise source systems.- Strong troubleshooting and problem‑solving skills across multiple layers of a data solution.- Strong communication skills and the ability to explain data and technical concepts to non‑technical audiences.NICE TO HAVES- Experience designing enterprise‑level semantic models and reusable datasets.- Experience establishing standardized KPIs and reporting definitions across multiple business areas.- Understanding of enterprise data architecture and modern data platform concepts.- Experience working with ETL/ELT processes and data transformation pipelines.- Experience with additional SAP technologies or SAP analytics environments.- Experience working in an Agile environment.- A proactive, self‑starter mindset with the ability to independently investigate data and reporting challenges.- Strong attention to detail and a focus on delivering reliable, intuitive, and maintainable analytics solutions.- A desire to continually improve reporting practices, data quality, and the overall user experience.PERKS AND BENEFITS- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.- Competitive compensation : USD‑based pay with education, fitness, and team activity budgets.- Exciting projects : Modern solutions with Fortune 500 and top product companies.- Flextime : Flexible schedule with remote and office options.Cordoba, ArgentinaFull time**About Us:**Proofpoint is a global leader in human- and agent‑centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.**How We Work:**At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:**Bold** in how we dream and innovate**Responsive** to feedback, challenges and opportunities**Accountable** for results and best in class outcomes**Visionary** in future focused problem‑solving**Exceptional** in execution and impactProofpoint is seeking a DevOps and Data Engineer to join our Data Platform team. This is a hybrid role that sits at the intersection of platform engineering and data infrastructure-you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities. You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines,



and DevOps tooling that enable data engineering teams to ship high‑quality data products faster and more safely.What You'll Do- Implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.- Build and manage cloud infrastructure on AWS using Infrastructure-as‑Code (Terraform and/or AWS CDK)-covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.- Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.- Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.- Build and maintain AWS Glue ETL jobs (PySpark) for large‑scale data ingestion and transformation across the data lake on S3.- Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.What You Bring to the Team- 2+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands‑on data engineering work.- Expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.- Hands‑on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).- Proficiency with Infrastructure‑as‑Code tools—Terraform and/or AWS CDK—for managing production cloud environments.- Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.- Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).Required- 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands‑on data engineering work.- Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.- Hands‑on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).- Proficiency with Infrastructure‑as‑Code tools—Terraform and/or AWS CDK—for managing production cloud environments.- Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.- Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).- Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.- Strong communication skills-able to translate operational concerns into clear engineering trade‑offs for both technical and non‑technical audiences.Nice to Have- Knowledge of data quality frameworks (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD.- Familiarity with open table formats (Apache Iceberg, Delta Lake) and lakehouse patterns.- Background in cybersecurity, threat intelligence, or security‑data analytics environments.- AWS Certified DevOps Engineer - Professional, AWS Certified Data Engineer - Associate, or AWS Certified Solutions Architect certification.- Experience with cost optimization tooling (Infracost, AWS Cost Explorer dashboards, Athena query cost governance).Why Proofpoint?- Competitive compensation- Comprehensive benefits- Career success on your terms- Flexible work environment- Annual wellness and community outreach days- Always on recognition for your contributions- Integral collaboration and networking opportunitiesProofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.Cordoba, ArgentinaFull time**About Us:**Proofpoint is a global leader in human- and agent‑centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.**How We Work:**At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:**Bold** in how we dream and innovate**Responsive** to feedback, challenges and opportunities**Accountable** for results and best in class outcomes**Visionary** in future focused problem‑solving**Exceptional** in execution and impactProofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This is a hybrid role that sits at the intersection of platform engineering and data infrastructure—you will own the reliability, automation,



and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities. You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high‑quality data products faster and more safely. At the same time, you will actively contribute to the design and operation of data pipelines using AWS Glue, Athena, and S3, bringing a strong operational mindset to data engineering. If you thrive at the boundary between platform and data, love automating toil, and care deeply about reliability and developer experience, this role is for you.What You'll Do- Design, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.- Build and manage cloud infrastructure on AWS using Infrastructure‑as‑Code (Terraform and/or AWS CDK)-covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.- Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.- Develop and maintain the DataOps platform‑self‑service tooling, pipeline templates, and shared libraries that allow data engineers to spin up production‑grade pipelines quickly.- Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.- Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, and reliability hardening.- Build and maintain AWS Glue ETL jobs (PySpark) for large‑scale data ingestion and transformation across the data lake on S3.- Drive security best practices across the data platform: secrets management (AWS Secrets Manager / Parameter Store), least‑privilege IAM, network segmentation, and compliance controls.- Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.- Lead incident response for data platform outages: on‑call participation, root‑cause analysis, and post‑mortem‑driven improvements.- Mentor junior engineers on DevOps and data engineering practices, conduct code and design reviews, and contribute to architecture decision records.What You Bring to the Team- 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands‑on data engineering work.- Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.- Hands‑on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).- Proficiency with Infrastructure‑as‑Code tools—Terraform and/or AWS CDK—for managing production cloud environments.- Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.- Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).Required- 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands‑on data engineering work.- Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.- Hands‑on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).- Proficiency with Infrastructure‑as‑Code tools—Terraform and/or AWS CDK—for managing production cloud environments.- Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.- Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).- Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.- Strong communication skills-able to translate operational concerns into clear engineering trade‑offs for both technical and non‑technical audiences.Nice to Have- Familiarity with real‑time / streaming data processing using Apache Kafka, Amazon Kinesis, or Glue Streaming ETL.- Knowledge of data quality frameworks (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD.- Familiarity with open table formats (Apache Iceberg, Delta Lake) and lakehouse patterns.- Background in cybersecurity, threat intelligence, or security‑data analytics environments.- AWS Certified DevOps Engineer - Professional, AWS Certified Data Engineer - Associate, or AWS Certified Solutions Architect certification.- Experience with cost optimization tooling (Infracost, AWS Cost Explorer dashboards, Athena query cost governance).Why Proofpoint?- Competitive compensation- Comprehensive benefits- Career success on your terms- Flexible work environment- Annual wellness and community outreach days- Always on recognition for your contributions- Global collaboration and networking opportunitiesProofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.#J-18808-Ljbffr

📌 Remote Bilingual Tax Accountant | Power Bi & Sql Expert (Buenos Aires)
🏢 GBS Group
📍 Buenos Aires