Data Engineer

Description

Summary: Seeking a skilled Data Engineer to design, build, and operate scalable AWS data platforms supporting analytics, batch/streaming pipelines, and AI/ML workloads. Highlights: 1. Design and maintain scalable AWS data platforms for analytics and AI/ML 2. Develop and operate batch and streaming data pipelines 3. Build reliable data systems and integrate enterprise platforms **Data Engineer*** **Location:** Argentina — Remot * **Type:** Full\-time, long\-term contractor * **Eligibility:** This opportunity is open exclusively to candidates based in Argentina. **About the Company** --------------------- Our client is a leading cloud\-first consulting company delivering Managed Services, Staffing, and Professional Services. With a remote\-first global team across North America, Europe, and Southeast Asia, the company helps organizations embrace cloud technologies through innovative, customer\-focused solutions. The organization values collaboration, agility, innovation, integrity, diversity and inclusion, and offers an environment where talented professionals can work on meaningful, cutting\-edge initiatives. **About the Role** ------------------ Our client is looking to hire a highly skilled **Data Engineer** to design, build, and operate scalable AWS data platforms supporting analytics, batch and streaming pipelines, and AI/ML workloads. This role requires strong hands\-on AWS and Python expertise, as well as the ability to build reliable data systems, integrate enterprise platforms, and improve data accessibility, governance, and quality across the organization. **What You’ll Do** ------------------ * Design, build, and maintain scalable AWS data platforms aligned with AWS Well\-Architected best practices. * Develop and operate batch and streaming data pipelines for analytics and AI/ML use cases. * Build ingestion, transformation, enrichment, and normalization workflows using internal systems and external APIs. * Work with structured, semi\-structured, unstructured, and graph data. * Design and maintain data models, including normalized, denormalized, and graph\-based models. * Build and maintain knowledge graphs that enable advanced analytics and inference. * Integrate data from CRM and ERP platforms such as Salesforce, HubSpot, SAP, NetSuite, Dynamics 365, and Workday. * Establish data governance practices around cataloging, lineage, access control, encryption, and auditability. * Implement data\-quality, observability, and monitoring processes for freshness, completeness, and pipeline health. * Optimize data architecture for cost and performance through partitioning, indexing, compression, and storage tiering. * Create internal tools, dashboards, and technical documentation to improve visibility and maintainability. **What We’re Looking For** -------------------------- * 4\+ years of experience designing and operating AWS data platforms. * Strong hands\-on experience with AWS services such as S3, Glue, Lake Formation, Athena, Redshift, EMR, Kinesis/MSK, DynamoDB, OpenSearch, and Neptune. * Strong Python skills, with an emphasis on modular, testable, and maintainable code. * Advanced SQL skills, including CTEs, window functions, and query optimization. * Experience with ETL/ELT, data warehouses, lakehouse architectures, and analytical query engines. * Experience with Spark, Hadoop, Hive, and/or Flink. * Strong understanding of distributed data systems, event\-driven architectures, fault tolerance, and idempotency. * Experience with API integrations and enterprise CRM/ERP systems. * Experience with CloudWatch, CloudTrail, data governance, security, and compliance practices. * Familiarity with Terraform or CloudFormation. * Advanced English communication skills and the ability to explain technical trade\-offs to technical and non\-technical stakeholders.