Title: Senior Big Data Developer/Engineer
Compensation: $60- $61/Hour
Interview Process: Onsite Interview
Location: Hybrid- Mississauga, ON- 3 day's onsite
Duration: 6+ Months
Responsibilities:
- Build and maintain scalable data pipelines using PySpark within a Big Data environment to process and transform large volumes of structured and unstructured data.
- Knowledge / experience with DataBricks.
- Design and develop solutions across the Hadoop ecosystem including Hive, HDFS, Sqoop, Spark, Impala, and Scala to enable efficient data ingestion, processing, and storage.
- Develop and manage real-time and batch data workflows using streaming data platforms, ensuring high availability and low-latency data delivery.
- Write complex SQL queries to extract, validate, and analyse data across distributed systems, supporting data-driven decision-making.
- Design and implement data models and data architecture patterns aligned with data warehouse principles, ensuring scalability, accuracy, and consistency.
- Automate pipeline scheduling and orchestration using shell scripting and Autosys, reducing manual intervention and improving operational reliability.
- Independently identify, assess, and resolve technical risks and data issues in a timely manner, maintaining system integrity across the data platform.
- Experience in BI Platforms (preferable Tableau) is a nice to have.
Required Qualifications & Skills:
- Hands-on expertise in PySpark and Big Data processing, with the ability to build and optimise distributed data workflows at scale.
- Practical knowledge of the Hadoop ecosystem, including Hive, HDFS, Sqoop, Spark, Impala, and Scala, applied in a production environment.
- Proficiency in complex SQL query development for data analysis, transformation, and validation across large datasets.
- Solid understanding of distributed systems architecture and how data flows across interconnected processing layers.
- Demonstrated knowledge of data modelling and data design, with familiarity in data warehouse concepts and dimensional modelling techniques.
- Competence in shell scripting and job scheduling using Autosys or equivalent workflow automation tools.
- Strong analytical and problem-solving ability, with a track record of working independently to diagnose and resolve complex data engineering challenges.
- Clear and effective communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.
The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.
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