À propos
We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards.This role will require someone at our client site 5 days a week in either Pittsburgh, PA, Cleveland, OH, or Dallas, TX. Duties and Responsibilities: Design and build scalable data pipelines aligned with business needs Process large dataset (batch + sometimes near Realtime) Ensure data quality, consistency, and governance standards across systems Support data integration and transformation efforts for analytics and reporting platforms Maintain data dictionaries, metadata, and documentation Participate in data architecture reviews and model validation processes Support analytics reporting and risk platforms Requirements: 5+ years of experience in data engineering and big data processing Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing Experience working with structured and semi structured data, including complex transformations and performance tuning Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into 'curated data models' Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems Strong knowledge of SQL and data modeling concepts Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring) Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling Strong understanding of batch processing and batch job scheduling frameworks Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines Fundamentals in Linux and Networking Docker, OCP containerization / Kubernetes Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle Automate operational tasks using Python, Bash/Shell, and PowerShell Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK. Experience ensuring data quality, reliability, and compliance in regulated environments Good communication and documentation skills Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.
Compétences linguistiques
- English
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