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.
खोलें
Kunai एक परामर्श कंपनी है जो वित्तीय क्षेत्र के संगठनों को नए विचारों को व्यावहारिक उत्पादों और सेवाओं में बदलने में सहायता करती है। इसका कार्य उत्पाद विकास, कृत्रिम बुद्धिमत्ता और स्वचालन, क्लाउड इंजीनियरिंग तथा डेटा इंजीनियरिंग तक फैला हुआ है। कंपनी की स्थापना बैंकिंग और फिनटेक के अनुभवी पेशेवरों ने की थी। यह ग्राहकों को बाजार के लिए तैयार वित्तीय उत्पाद बनाने, एआई के माध्यम से परिचालन में सुधार करने, जटिल क्लाउड वातावरणों का प्रबंधन करने तथा निर्णय लेने और ग्राहक अनुभवों को बेहतर बनाने के लिए डेटा का उपयोग करने में सहायता करती है।
Software Engineer, Data — United States Remote
Build Python-powered cloud data platforms for Kunai’s banking and fintech clients. Design scalable pipelines, streaming systems, and analytics infrastructure with AWS, Snowflake, and Databricks.
विवरण
- Engineer production-grade software and data platforms that extend beyond conventional ETL.
- Lead software and data engineering for a key initiative supporting a major banking client.
- Apply cloud-native technologies and modern architectural patterns in hands-on development.
- Create backend services and systems centered on data-intensive use cases.
- Execute enterprise data migrations involving large-scale movement and transformation.
- Use cloud data platforms to investigate and interpret substantial datasets.
- Design event-driven architectures for real-time data streaming.
- Build and optimize large cloud warehouses through thoughtful data modeling and performance tuning.
आवश्यकताएँ
- At least five years of application development experience, including strong Python programming skills.
- At least four years of practical experience using AWS cloud services.
- At least four years working with relational databases such as PostgreSQL and developing complex SQL queries.
- Experience managing cloud-based data migrations, including enterprise-scale data transfer and transformation.
- Experience using Databricks or Snowflake to analyze large datasets.
- Working knowledge of distributed processing and batch or streaming technologies such as Apache Spark, Kafka, or AWS Kinesis.
- Experience with Apache Airflow or a comparable workflow orchestration platform.
- Understanding of enterprise ETL pipelines, data quality practices, and compliance governance.
- Hands-on experience designing real-time, event-driven streams with Kafka or OneStream.
- Knowledge of large-scale cloud warehousing, performance tuning, and data modeling in Snowflake and OneLake.
- Bachelor’s degree required; equivalent specialized training or progressively responsible technology experience may substitute at three years per missing college year, in addition to the required experience.
- Java development experience is a plus.
- Experience with AWS Glue or other AWS data integration services is a plus.
- Proficiency in UNIX or Linux environments, including basic shell scripting, is a plus.
- Experience with Agile teams, consulting, or client-facing collaborative work is a plus.
- Nice to have: Experience working in Agile teams and knowledge of Agile engineering practices
लाभ
- Competitive compensation package.
- Opportunities for professional growth and development.
- Flexible working arrangements.
- Resources that support personal and professional growth.
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