Big Data Developer

• Spark Scala Developer
• Mississauga, Ontario | Calgary, Alberta

Required Qualifications:

• At least 6 years of Information Technology experience
• 6+ years of experience in Big Data technologies.
• Strong expertise in:
• Apache Spark (Core, SQL, DataFrames, RDDs)
• Scala programming
• PySpark
• Hands-on experience with:
• Kafka (real-time streaming)
• Hadoop ecosystem (HDFS, Hive, Impala)
• NoSQL Databases (HBase, MongoDB, Couchbase)
• Strong understanding of distributed computing concepts and data processing frameworks.
• Experience in building ETL/data pipelines for large-scale datasets.
• Proficiency in SQL and data modeling.

Preferred Qualifications:

• Hands-on experience with data lakes, data warehouses, and scalable ETL pipeline design, including batch and real-time processing architecture.
• Strong understanding and practical exposure to Agile software development methodologies (Scrum) and SDLC practices.
• Proven experience in Banking domain, supporting use cases such as fraud detection, risk analytics, regulatory reporting, and customer insights.
• Excellent analytical, problem-solving, and communication skills, with the ability to translate business requirements into scalable technical solutions.
• Demonstrated ability to work effectively in cross-functional, multi-stakeholder environments, collaborating with Business, Data Engineering, and Architecture teams.
• Experience with real-time data streaming frameworks such as Kafka and Spark Streaming for low-latency processing.
• Understanding data modeling concepts (dimensional modeling, snowflake schemas) to support analytics workloads.
• Experience and desire to work in a global delivery environment.