Data EnginnerExcelGens, Inc. • United States

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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Data • United States