Big Data Developer

Role : Big Data Developer Location : Toronto, ON (Hybrid- 3/4 days onsite) Top 3 skills required for this role: Big Data & Spark SQL Unix/Shell Scripting Role Overview We are looking for a Senior Backend Developer with 5+ years of experience in big data engineering, API integration, and AI-assisted development. The ideal candidate will design, build, and maintain scalable data pipelines and backend systems in a enterprise environment. Key Responsibilities Big Data & Spark Design and develop Spark-Scala applications for large-scale data processing on Hadoop/CDP clusters Build and optimize ETL/ELT pipelines using Spark DataFrames, Datasets and Spark SQL Tune Spark jobs for performance (partitioning, caching, broadcast joins, shuffle optimization) Migrate Spark 2 applications to Spark 3 on Cloudera CDP platforms Work with Parquet, ORC, Avro file formats on HDFS SQL & Data Engineering Write complex HiveQL / Spark SQL queries including window functions, CTEs, subqueries and aggregations Design and maintain Hive external/managed tables and partitioned datasets Optimize slow-running queries and resolve correlated subquery issues Work with HDFS encryption zones and data governance requirements Unix / Shell Scripting Develop and maintain bash shell scripts for job orchestration and automation Handle error management, return codes, logging and alerting in shell scripts Manage HDFS operations (hdfs dfs commands), file transfers, and data validation Manage Kerberos authentication (kinit, keytab handling) API Extraction & Integration Build scripts and pipelines to extract data from REST APIs using curl and Python Handle OAuth2 token generation, bearer token refresh and API health checks Parse and process JSON API responses and load into HDFS/Hive Manage pagination, error handling and retry logic for API calls Work with enterprise API gateways and URL parameter construction AI & Copilot Capabilities Leverage GitHub Copilot / AI coding assistants to accelerate development Use AI tools for code review, SQL generation, script debugging and documentation Contribute to AI-assisted data quality and anomaly detection pipelines Explore and implement LLM-based automation for repetitive data engineering tasks Scheduling & Orchestration Schedule and manage jobs using AAP (Ansible Automation Platform) / Control-M / cron Build and maintain Ansible playbooks for automated deployments Manage deployment pipelines including artifact versioning, Vault secret injection and environment-specific configuration Monitor job health, handle failures and implement alerting Nice to Have Experience with Cloudera CDP (7.x) and migration from HDP Knowledge of Kerberos, Vault, HDFS encryption zones Familiarity with CI/CD pipelines (Helios, GitHub Actions) Experience with MSSQL / JDBC connectivity from Spark Understanding of AML / Financial regulatory data domains. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf

Design, build, and maintain scalable data pipelines and backend systems within an enterprise environment. This includes developing Spark-Scala applications, optimizing ETL processes, and automating job orchestration using shell scripting and Ansible.

Requires over 5 years of experience in big data engineering, API integration, and AI-assisted development. Proficiency in Spark, Hive, Unix scripting, and the ability to leverage AI tools like GitHub Copilot is essential.

• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Big Data
• Spark SQL
• Unix/Shell Scripting
• Spark-Scala
• Hadoop
• CDP
• ETL/ELT
• HiveQL
• HDFS
• REST API Integration
• Python
• GitHub Copilot
• Ansible
• Control-M
• Kerberos
• OAuth2

• Data & Analytics
• Software
• Technology
• Engineering
• Finance & Accounting

Minimum experience

5+ years

Apply by

Sep 16, 2026

Posting language

English

Working hours

40 hours per week

Office presence

4 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available