Sr Data Engineer IBM DB AWS
Aviso de fuente externaen Allied Global Technology Services
🚀 Senior Data Engineer — IBM DB2 | AWS 🌎 Location: México | Remote 💼 Engagement: Full-Time | Contractor Agreement 💵 Compensation: US$3,050/month 🗣️ Language Requirements: Fluent Engl...
Salario
No especificado
Ubicación
Guatemala City, Guatemala
Tipo de empleo
Tiempo completo
Modalidad
No especificado
Sr Data Engineer IBM DB AWS
Guatemala City, Guatemala
Descripción del empleo
🚀 Senior Data Engineer — IBM DB2 | AWS
🌎 Location: México | Remote 💼 Engagement: Full-Time | Contractor Agreement 💵 Compensation: US$3,050/month 🗣️ Language Requirements: Fluent English and Spanish
🎯 About the RoleWe are looking for a Senior Data Engineer with strong IBM DB2 expertise to build and operate the data integration and pipeline layer connecting DB2, custom applications, and modern cloud data platforms.This is a hands-on role combining DB2 engineering, data pipelines, system integration, and data architecture, with a strong focus on production reliability and data accuracy.
🔧 What You'll DoDesign, build, and operate batch and event-driven data pipelines using Python and/or Java.Develop and optimize IBM DB2 solutions, including advanced SQL, stored procedures, views, indexing, and query tuning.Build integrations between DB2, internal applications, SaaS platforms, and ERP/financial systems.Develop reliable data pipelines using AWS Glue, dbt, Kafka, and modern cloud data technologies.Implement data quality, validation, reconciliation, monitoring, alerting, retries, and backfills.Apply data architecture principles including data modeling, lineage, partitioning, idempotency, and governance.Help modernize legacy DB2 data flows and migrate workloads toward modern cloud and event-driven architectures.Collaborate closely with Engineering, Product, Data, Analytics, DBAs, Architects, and Operations teams.
🛠️ Must-Have Technical Skills5+ years of professional Data Engineering experienceStrong hands-on experience with IBM DB2 — DB2 for i and/or LUWAdvanced SQL, stored procedures, query optimization, and database performance tuningStrong Python and/or JavaHands-on experience with AWS Glue, dbt, and TimeExtenderExperience with Apache Kafka and event-driven data pipelinesWorking knowledge of AWS: S3, Glue, Lambda, IAM, and related data servicesExperience building and supporting production data pipelinesExperience with data modeling, data lineage, data quality, and governanceExposure to CI/CD, Infrastructure as Code, and containerizationExperience working with a cloud data warehouse or lakehouse
⭐ Nice to HaveIBM i / AS/400 and DB2 for i experienceCDC technologies such as Debezium, NiFi, IBM InfoSphere CDC, or similarExperience modernizing legacy ETL or midrange/mainframe data platformsExperience with Terraform, CloudFormation, ECS, EKS, or KubernetesBackground in payroll, accounting, financial services, or ERP environments
🧠 What We're Looking ForWe're looking for someone who combines deep DB2 expertise with modern data engineering skills — someone comfortable tuning a DB2 query, designing reliable pipelines, working with Kafka and AWS, and collaborating with technical and business teams.
If you enjoy modernizing legacy data environments and building reliable, scalable data solutions, we'd love to hear from you.
📩 Apply now or send me your CV to learn more about the opportunity.
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