Software Engineer, Data Platform
Canvas Frg — Poland · Posted ~1 day ago
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Experience
Experienced Professionals
Location
Warsaw, PL
Focus
Data Engineering
Business
Point72
A Career with Point72’s Technology Group
As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape.
We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology.
We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.
We’re looking for individuals that are highly proficient in their respective technology platform, articulate, solution driven, client focused, and proactive in building their technology skills.
What you’ll do
Requirements
You will be part of the team that builds a multitenant data platform to onboard internal and external data sources and perform a central role in data ingestion, consumption, and cataloguing.
You will join a team of experts in data pipelines focusing on data streaming and acquisition, storage of the data in multiple forms (raw, normalized, operational vs historical), ELT, transformation, distribution, access layers for different types of technical access and entitlements.
Building and enhancing our data platform includes applying data lake components with raw data, joined operational data, a warehouse for history and API, and an access layer, across on prem and cloud technologies and clients.
In this role, you will be responsible for leading and providing best practices for the team managing the Data Platform on AWS for our Firm.
You will work closely with the architect/business for gathering requirements and delivering.
As a Lead Python Engineer, you will be:
Working together with Engineering Managers and the rest of Leadership team in Poland and US Planning projects and successfully delivering them with the team Building data ingestion pipelines in the cloud and assisting in extending our AWS cloud offering Working extensively in Databricks platform and leveraging all of the Databricks features (pipelines, Unity Catalogue, streaming, etc) Improving excellence of the team, processes, and practices within the company Working with customers towards a project’s success
What’s Required
The ideal candidate should be experienced in Python and AWS Cloud with good communication skills.
Excellent Python and software craftsmanship skills (more than 3 years) Experience with working in microservices framework and event-driven architectures Experience with Spark (building scalable and maintainable pipelines in PySpark and Scala) Experience with Spark Streaming (building low latency pipelines) Experience with Delta format (opensource Delta Lake project) Experience with Kubernetes Experience with MongoDB Experience with AWS Cloud Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being.
When you work here, we provide:
Sports card Private life insurance Private medical and dental care, with vision allowance Private pension scheme Volunteer opportunities Support for employee-led affinity groups representing women, people of color and the LGBT+ community Business travel accident insurance Employee assistance program Educational assistance reimbursement
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide.
Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent.
We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking.
For more information, visit www.Point72.com/working-here
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