Big Data Developer

🔥 1 hour ago

🇨🇱 Chile – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🖥 Software Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 11%

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Logo of Talan

Talan

1001 - 5000 employees

Founded 2003

💼 Consulting

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-07

Consulting • Enterprise • SaaS

Talan is a global company specializing in supporting organizations through positive innovation and transformation. With a presence in 18 countries across 5 continents, Talan offers a diverse range of solutions that enhance decision-making, integrate technology into business strategies, and reinvent business models for resilience and operational excellence. Talan excels in data management and governance, AI-powered solutions, cybersecurity, and cloud platforms. By partnering with leading technology providers like Microsoft, SAP, Oracle, and Salesforce, Talan aims to democratize data use and drive low-carbon transitions. The company also focuses on industries such as energy, transport, financial services, and more, providing insights and solutions tailored to the specific needs of these sectors.

📋 Description

• Design, develop and maintain data lake pipelines using Apache Spark, Scala and SQL • Build and maintain scalable data processing solutions for large volumes of data • Orchestrate batch workflows and dependencies using Control-M and Airflow • Implement data ingestion, transformation, validation and publication processes for Market Risk use cases • Analyse and optimise the performance, reliability and scalability of Spark-based workloads • Analyse technical and functional requirements, identify gaps and propose effective solutions • Contribute to delivery planning and collaborate with different teams to ensure successful implementation • Support production incidents, perform root-cause analysis and contribute to continuous improvement of operational processes • Work closely with Agile squads, functional teams and production support teams to deliver high-quality solutions and business value • Follow software engineering and data development best practices to ensure robust, maintainable and production-ready solutions

🎯 Requirements

• 2+ years of professional experience in Big Data, Data Lakes or cloud-based data platforms • Strong hands-on experience with Apache Spark, Scala and SQL for large-scale data processing • Good understanding of Data Lake architecture, data quality controls, data lineage and production-grade data pipelines • Strong analytical and problem-solving skills • Excellent communication and teamwork skills, with the ability to collaborate effectively with technical and functional stakeholders • Adaptability and a proactive approach to solving technical challenges • English: C1 level or equivalent professional fluency • Spanish is considered a plus • Experience with workflow orchestration and scheduling tools, particularly Control-M and Airflow, highly valued • Experience with Databricks and cloud technologies such as Azure and AWS highly valued • Experience with YARN and cloud-based compute environments highly valued • Experience with CI/CD and software engineering practices, including GitHub, Jenkins and SonarQube, highly valued • Experience with banking production environments, operational monitoring and incident management tools such as ServiceNow highly valued • Knowledge of Market Risk processes, including P&L, valuations, risk metrics and regulatory reporting data flows, highly valued

🏖️ Benefits

• Full-time, permanent employment contract • 100% remote working with the flexibility to work from wherever you are • Professional growth and career development opportunities • Access to continuous learning • Multicultural and international environment • Private medical insurance • Life insurance • Lunch and transport cards through the flexible remuneration programme • Online language classes • Smart Office Pack to support your remote working experience

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