Client-UST/TD securities
Data Science
Location- New York, NY onsite day 1, hybrid 3 days

Mandatory Skills
Building Data pipelines,
Cloud Platform,
Data Warehousing

* High-Performance Culture: Be a key player in our high-performing team, surrounded by
intellectual minds eager to collaborate and learn from each other.
* Key Contributions:
Be a key contributor on one of top-priority initiatives, backed by strong
senior management support. The platform is already making waves, and now it & your chance to
steer it to new heights.
* Visible Impact: Make your mark by driving the platform forward, contributing to its success and
widespread adoption.

What We are Looking For:

* Experienced Data Engineer: We need an experienced data engineer with a proven track record of
driving product success from an engineering perspective. We are looking for someone who has strong
experience in building scalable and reliable data pipelines using Databricks and Spark. You will be
working with various data sources and formats, and transforming them into valuable insights for our
business
* Cultural Fit: Join our collaborative, respectful, and intellectually curious team. We are persistent
problem solvers, communicative, results-driven, and positive bringing accountability and
ownership to everything we do.
Your Role:
* Holistic Learning: Dive into the intricacies of our platform, mastering its ins and outs.
* Strategic Contributions: Design, develop, and maintain data pipelines using Databricks and
Spark, and other cloud technologies as needed
* Hands-On Contribution: Tackle challenging tasks as a hands-on contributor, ensuring a seamless
transition between various facets of this dynamic role throughout the workday.
* Optimize data pipelines for performance, scalability, and reliability
* Ensure data quality and integrity throughout the data lifecycle
* Collaborate with data scientists, analysts, and other stakeholders to understand and meet their data
needs
* Troubleshoot and resolve data-related issues, and provide root cause analysis and
recommendations
* Document data pipeline specifications, requirements, and enhancements, and communicate them
effectively to the team and management
* Create new data validation methods and data analysis tools, and share best practices and learnings
with the data engineering community
* Implement ETL processes and data warehouse solutions, and ensure compliance with data
governance and security policies
* NY-based (min. 2 days in office each week: Tuesday plus one other day)

Required Qualifications

* Bachelor s degree in Computer Science, Engineering, or related field, or equivalent work
experience
* Strong background in Computer Science fundamentals including: algorithms, data structures,
computational complexity, distributed computing
* 5 years of experience in data engineering, preferably with Databricks and Spark
* Proficient in SQL and Python, and familiar with Java or Scala
* Experience with cloud platforms, preferably Azure
* Experience with data warehouse and data lake concepts and architectures
* Experience with data integration and ETL tools, preferably Azure Data Factory
* Strong analytical and problem-solving skills
* Excellent communication and teamwork skills

Nice-to-Have

* Experience with big data technologies, such as Kafka, Hadoop, Hive, etc.
* Experience with data visualization and reporting tools, preferably Tableau