Software Engineer

We are seeking a Software Engineer with strong C++ and Python expertise to develop and support business-critical consumer data-processing systems. The role involves high-performance batch processing, data aggregation, calibration-support workflows, and reliable delivery of processed data to downstream platforms.
You will own features from technical design through production rollout, working across C++, Python, Oracle, and Linux-based orchestration.
Roles and Responsibilities
Design & Development
Design, develop, and maintain high-performance C++ applications and reusable Python components for enterprise data-processing pipelines.
Implement workflows for data extraction, transformation, aggregation, validation, and delivery.
Apply modern C++ practices, including RAII, smart pointers, STL containers, and clear resource ownership, to build maintainable and reliable software.
Develop and maintain Oracle-integrated processing components using SQL and existing Pro*C interfaces.
Build and enhance Bash/KornShell scripts for application execution, workflow orchestration, and operational automation.
Own technical designs, implementation, testing, documentation, and production rollout; contribute to architecture and design reviews.
Performance & Data Processing
Optimize algorithms, data structures, memory usage, database access, and file I/O for large-volume processing.
Develop and troubleshoot parallel processing workflows, addressing synchronization, resource contention, and safe concurrency.
Work with partitioned datasets and structured data formats, including CSV and Parquet, across Oracle and cloud-connected processing environments.
Maintain dependable interfaces between processing executables, Python modules, database packages, schedulers, and downstream systems.
Improve pipeline scalability and recoverability through dependency management, controlled retries, locking, and safe rerun mechanisms.
Quality & Reliability
Develop automated unit, integration, and regression tests for processing logic, database interactions, and failure scenarios.
Diagnose crashes, memory issues, processing bottlenecks, and data discrepancies using logs, core dumps, debuggers, and profiling tools.
Instrument applications with actionable logging, processing metrics, and resource-utilization monitoring.
Participate in production support, incident investigation, root-cause analysis, and preventive improvements.
Contribute to GNU Make-based builds, Docker packaging, GitHub Actions CI/CD, and code-quality checks.
Follow secure coding practices, protect credentials, and manage third-party dependencies responsibly.
Collaboration & Leadership
Conduct code and design reviews; mentor engineers in C++, Python, debugging, and performance engineering.
Collaborate with Operations, Statistical Operations, Data Science, QA, database, and platform teams to translate business requirements into reliable solutions.
Document processing logic, interfaces, dependencies, and operational recovery procedures.
Evaluate development tools, including AI-assisted coding tools, while retaining responsibility for correctness, security, and maintainability.
Required Qualifications
3+ years of professional software-engineering experience, with strong hands-on C++ development and practical Python expertise.
Strong knowledge of modern C++, preferably C++17, including object-oriented design, templates, STL, memory management, and resource lifecycles.
Sound understanding of data structures, algorithms, concurrency, and performance trade-offs.
Experience developing and supporting high-volume batch-processing or computationally intensive applications.
Strong Linux/Unix skills, including process management, shell scripting, environment configuration, and production troubleshooting.
Strong SQL and relational database skills, preferably Oracle, including complex queries, transactions, locking, and performance tuning.
Experience with C++ debugging and profiling tools such as GDB, core-dump analysis, and memory diagnostics.
Familiarity with GNU Make, GCC/G++, Git, automated testing, and CI/CD workflows.
Strong problem-solving, technical ownership, and written and verbal communication skills.
Preferred Qualifications
Experience with Oracle ProC, OCI/OCCI, PL/SQL packages, SQLLoader, or embedded SQL.
Experience with Python multiprocessing, database integration, and reusable data-processing utilities.
Familiarity with Azure, Docker, Kubernetes, Azure Data Factory, Hive, or Parquet-based storage.
Exposure to numerical computing, optimization algorithms, sparse matrices, or statistical data processing.
Experience with GitHub Actions, Artifactory, SonarQube, and GitHub Copilot or comparable AI coding tools.
Knowledge of consumer panel data, retail measurement, market research, or analytics-delivery platforms.

Skills
Python, C++, Git, Linux, Azure, Docker, Kubernetes, CI/CD, SQL, Automation Testing

Experience
3+ yrs

Employment type
Full-time

Work arrangement
No