Overview
Skills
Job Details
Job Title: Big Data Engineer with Scala, Spark and Hadoop.
Location: Mississauga, ON (Hybrid)
Duration/Term: Long Term Contract
Job Description:
We are looking for a Big Data Engineer with expertise in Spark, Scala, Hive, SQL, and Hadoop within the Banking and Capital Markets domain. The ideal candidate will have experience working with Linux-based Hadoop ecosystems, handling real-time data processing with Spark Streaming, and demonstrating strong problem-solving and decision-making skills.
Key Responsibilities:
- Develop, optimize, and maintain Big Data solutions using Spark, Scala, Hive, HDFS, and HQL.
- Work within a Linux-based Hadoop ecosystem, including HDFS, Impala, Hive, HBase, etc.
- Design and implement real-time data processing platforms (Spark Streaming experience is a plus).
- Ensure data integrity, efficiency, and security across Big Data frameworks.
- Maintain clear and concise written and verbal communication for technical documentation and stakeholder interactions.
- Drive projects with a strong ability to multi-task, work under pressure, and meet agreed objectives.
- Demonstrate problem-solving and decision-making skills for complex data challenges.
Qualifications:
Must Have:
- Expertise in Spark, Scala, Hive, SQL, and Hadoop.
- Experience in Banking & Capital Markets domain.
- Strong communication skills (written and verbal).
Nice to Have:
- Experience with real-time data processing using Spark Streaming.
- Knowledge of Big Data architectures and industry best practices.
Key Skills:
Spark, Scala, Hive, SQL, Hadoop, HDFS, HQL, Linux, Impala, HBase, Banking & Capital Markets, Big Data Processing, Problem-Solving, Decision-Making, Communication
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