Posted yesterday
Java Spark Developer
@ LanceSoft, Inc.
Montréal, Quebec
Overview
LanceSoft, Inc. is hiring a contract Java Spark Developer to build scalable ETL pipelines and distributed data processing solutions. The work centres on Java-based Apache Spark applications, with performance tuning and CI/CD delivery. The posting states a pay range of CAD 70-80 per hour.
Responsibilities:
- Build scalable ETL pipelines and distributed data processing solutions
- Develop Java-based Apache Spark applications
- Performance tuning, debugging and optimization of Spark jobs
- Deliver code through Git, Maven/Gradle and CI/CD pipelines
- Work in Agile development teams
Requirements summary:
- 10+ years of software development with strong Java expertise
- Hands-on Apache Spark and Spark SQL experience
- Strong SQL and relational and NoSQL database skills
- Experience with Spring Boot and REST APIs
- Knowledge of Hadoop, HDFS, Hive and Kafka
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-09
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 10+ years |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
LanceSoft, Inc.
| Field | Value |
|---|---|
| Open jobs on 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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