Cloud and Systems Integration Developer
Maxon
Build Azure infrastructure and enterprise integrations supporting Maxon’s creative software operations. Automate deployments, identity workflows, and system connections across the organization.
Open
Talan is a global consulting and technology company helping organizations use innovation to transform how they operate and make decisions. Its work spans data management and governance, artificial intelligence, cybersecurity, and cloud platforms, with solutions designed to support resilient business models and operational improvement. Talan works with technology ecosystems including Microsoft, SAP, Oracle, and Salesforce, and serves sectors such as energy, transport, and financial services. With teams across 18 countries on five continents, the company brings together enterprise consulting and SaaS expertise to help clients turn data and technology into practical business outcomes.
Big Data Developer at Talan — Argentina Remote
Develop Spark, Scala, and SQL data lake pipelines for Market Risk applications at Talan. Build scalable processing workflows and collaborate with international Agile and production teams.
Description
- Create, enhance, and support data lake pipelines built with Apache Spark, Scala, and SQL
- Develop scalable processing solutions for high-volume datasets
- Coordinate batch workflows and dependencies with Control-M, Airflow, and similar tools
- Deliver data ingestion, transformation, validation, and publication processes for Market Risk use cases
- Improve the performance, reliability, and scalability of Spark workloads
- Review technical and functional requirements, identify gaps, and recommend practical solutions
- Help plan deliveries and coordinate across teams to support successful implementation
- Respond to production incidents, investigate root causes, and improve operational processes
- Partner with Agile squads, functional stakeholders, and production support teams to deliver reliable solutions and business value
- Apply software engineering and data development practices to produce maintainable, production-ready systems
Requirements
- At least two years of professional experience in Big Data, data lakes, or cloud-based data platforms
- Practical expertise with Apache Spark, Scala, and SQL for large-scale data processing
- Working knowledge of data lake architecture, data quality controls, data lineage, and production-grade pipelines
- Strong analytical and problem-solving abilities
- Clear communication and effective collaboration with technical and functional stakeholders
- Adaptability and a proactive approach to resolving technical challenges
- English proficiency at C1 level or equivalent professional fluency
- Spanish proficiency is an advantage
- Experience with workflow orchestration and scheduling tools, especially Control-M and Airflow, is highly valued
- Experience with Databricks and cloud platforms such as Azure and AWS is highly valued
- Experience with YARN and cloud-based compute environments is highly valued
- Experience with CI/CD and engineering tools including GitHub, Jenkins, and SonarQube is highly valued
- Experience in banking production environments, operational monitoring, and incident tools such as ServiceNow is highly valued
- Knowledge of Market Risk processes, including P&L, valuations, risk metrics, and regulatory reporting data flows, is highly valued
Benefits
- Fully remote work arrangement
- Training and opportunities for career development
- Opportunity to join a multicultural team and contribute to international projects
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