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A Career with Point72’s Technology Group

\n

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

\n

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

\n

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

\n

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

\n

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

\n
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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.\u003C/p\u003E\u003Cp\u003E \u003C/p\u003E\u003Cp\u003EWe’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. \u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cp\u003EYou 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:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EWorking together with Engineering Managers and the rest of Leadership team in Poland and US\u003C/li\u003E\u003Cli\u003EPlanning projects and successfully delivering them with the team\u003C/li\u003E\u003Cli\u003EBuilding data ingestion pipelines in the cloud and assisting in extending our AWS cloud offering\u003C/li\u003E\u003Cli\u003EWorking extensively in Databricks platform and leveraging all of the Databricks features (pipelines, Unity Catalogue, streaming, etc)\u003C/li\u003E\u003Cli\u003EImproving excellence of the team, processes, and practices within the company\u003C/li\u003E\u003Cli\u003EWorking with customers towards a project’s success\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cp\u003EThe ideal candidate should be experienced in Python and AWS Cloud with good communication skills.\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EExcellent Python and software craftsmanship skills (more than 3 years)\u003C/li\u003E\u003Cli\u003EExperience with working in microservices framework and event-driven architectures\u003C/li\u003E\u003Cli\u003EExperience with Spark (building scalable and maintainable pipelines in PySpark and Scala)\u003C/li\u003E\u003Cli\u003EExperience with Spark Streaming (building low latency pipelines)\u003C/li\u003E\u003Cli\u003EExperience with Delta format (opensource Delta Lake project)\u003C/li\u003E\u003Cli\u003EExperience with Kubernetes\u003C/li\u003E\u003Cli\u003EExperience with MongoDB\u003C/li\u003E\u003Cli\u003EExperience with AWS Cloud\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. When you work here, we provide: \u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003ESports card \u003C/li\u003E\u003Cli\u003EPrivate life insurance \u003C/li\u003E\u003Cli\u003EPrivate medical and dental care, with vision allowance \u003C/li\u003E\u003Cli\u003EPrivate pension scheme \u003C/li\u003E\u003Cli\u003EVolunteer opportunities \u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, people of color and the LGBT+ community \u003C/li\u003E\u003Cli\u003EBusiness travel accident insurance \u003C/li\u003E\u003Cli\u003EEmployee assistance program \u003C/li\u003E\u003Cli\u003EEducational assistance reimbursement \u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. Cohen. 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