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Data Enginner
Data EnginnerExcelGens, Inc. • United States
Data Enginner

Data Enginner

ExcelGens, Inc. • United States
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Summary :

Senior Data Engineer with 17+ years of experience across Data Engineering, Analytics, and Data Science , including 15+ years in global financial institutions like Scotiabank, Bank of America, and HSBC. Extensive expertise in building and managing ETL pipelines , designing data models , and developing enterprise-grade data platforms using DBT, Big Query, Snowflake, Python, and Airflow (Composer) .

Led end-to-end ETL architecture and cloud migration initiatives from on-prem to GCP and Snowflake , ensuring scalable, high-performance pipelines aligned with data governance and quality standards. Delivered critical financial data pipelines and reconciliations , collaborating with Accounting, Treasury, and Product teams to enable strategic, data-driven decision-making.

Certified in GCP Architecture , AWS Cloud , and Spark / Hadoop , with deep hands-on experience in Python, SQL, Spark, Hive, Docker, Kubernetes, Jenkins , and more. Strong track record of mentoring teams , improving pipeline reliability, and driving efficient execution across cross-functional projects .

Role : Data Engineer

Contract duration : 8 9 months

Location of Work : Remote. (Client is US-based) Might need to go to EY Canada office in person.

Job duties :

  • Work with Product and Engineering to drive new initiatives, supporting new product launches fueling business growth
  • Help define data model, contract, scaling the build of data quality check and contract enforcement
  • Collaborate with stakeholders across Accounting, Treasury, and other Finance functions, to extract financial data and insights, and provide data driven recommendations to enhance efficiencies for financial processes
  • Act as a strategic partner to functional teams; design and scope project plans; execute, test and implement data and reporting solutions
  • Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship
  • Work with the broader Data and Engineering teams to find ways to scale our platform through better systems and automation
  • Develop interactive dashboards and visualizations to present financial insights to stakeholders
  • Partner with peers and stakeholders to define and execute roadmaps that can help the function scale

Job requirements :

  • 5+ years of relevant experience
  • Self-starter, has the ability to multitask, and highly collaborative in working with cross functional teams
  • Strong experience with data processing (ETL), fluency in complex SQL and basic programming language high proficiency with scripting language (preferably Python)
  • Strong experience building data pipelines
  • Knowledge of data modeling, architecture, best practices
  • Experience using Apache Airflow or similar orchestration systems
  • Strong understanding of key finance principles, products within Accounting and Treasury domain, and eagerness to learn
  • Be able to independently create documentation for new data projects and requests, and build collaboration within the team
  • Demonstrate our core cultural values : clear communication, positive energy, continuous learning, act like an owner and efficient execution
  • Bachelor's degree in engineering, Computer Science or equivalent practical experience
  • Good to have experience :

  • Snowflake Migration & Business Intelligence
  • LLM RAG Application SAP Document Generation
  • Data Analytics & Machine Learning
  • Operation Simulation
  • Data Strategy, Data Architecture & MDM
  • Fixed transaction data quality issues
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