Publié hier
Java Spark Developer
@ LanceSoft, Inc.
Montréal, Québec
Résumé des exigences :
- Required Technical Skills
- 10+ years of experience in software development, with strong Java development expertise.
- Strong hands-on experience with Apache Spark and Java-based Spark application development.
- Strong knowledge of Spark Core, Spark SQL, DataFrames, Datasets, and Spark Streaming.
- Experience developing scalable ETL pipelines and distributed data processing solutions.
- Strong SQL skills and experience working with relational and NoSQL databases.
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-09
- Première détection par notre source
- 2026-11-11
- Mise à jour du dossier source
- 2026-11-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
LanceSoft, Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 13 |
Pay Range: CAD 70-80/hr
Required Technical Skills
- 10+ years of experience in software development, with strong Java development expertise.
- Strong hands-on experience with Apache Spark and Java-based Spark application development.
- Expertise in Java 8/11/17, Core Java, Collections, Multithreading, Streams, and OOP concepts.
- Strong knowledge of Spark Core, Spark SQL, DataFrames, Datasets, and Spark Streaming.
- Experience developing scalable ETL pipelines and distributed data processing solutions.
- Strong SQL skills and experience working with relational and NoSQL databases.
- Experience with Spring Boot, Spring Framework, and REST APIs.
- Knowledge of Hadoop, HDFS, Hive, Kafka, and other Big Data technologies.
- Experience with performance tuning, debugging, and optimization of Spark applications.
- Familiarity with Git, Maven/Gradle, Jenkins, and CI/CD pipelines.
- Experience working in Agile development environments.
Preferred / Good-to-Have Skills
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Databricks, Delta Lake, and Lakehouse architecture.
- Experience with Snowflake, Amazon S3, or Azure Data Lake Storage.
- Familiarity with Docker, Kubernetes, and containerized deployments.
- Experience with data modeling, data warehousing, and real-time data processing.
- Knowledge of Python or Scala alongside Java.
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