Senior Data Engineer

Year    Gurgaon, Haryana, India

Job Description


Company Overview

Targray - Building sustainable solutions for a world in transition

Established in 1987 in Montreal, Canada, Targray is a global leader in the sourcing, transportation, storage, trading and distribution of commodities and advanced materials for a broad range of industry sectors. Our supply solutions help reduce the world\'s carbon footprint while enabling our customers to create safer, more reliable products for consumers.

Targray has operations in 11 countries and over $1B USD in annual sales. In 2019, the company made its debut appearance on the FP500, Financial Post\xe2\x80\x99s ranking of the top 500 corporations in Canada by revenue.

  • Great Place to Work\xc2\xae | Best Workplaces in Quebec (2020, 2021)
  • Deloitte | Best Managed Companies (2019 - 2022)
  • EY Canada | Quebec Entrepreneur of the Year (2016)
  • HSBC | International Business Award (2012)
  • Profit 100 Fastest-Growing Companies in Canada (2006, 2009)
Job Summary

As a part of our continued expansion, Targray is seeking to hire a Senior Data Engineer, to join our Risk and Data Technology Team based at our India Office Gurgaon, Haryana. The role will be responsible for creating the Python frameworks, tools that will be used for developing back-end services, APIs, data processing and data science work (AI/ML) as well.

Responsibilities
  • Reporting to the engineer Manager \xe2\x80\x93 data while aligning to the overall strategy defined by CIO he/she will focus on designing and developing the key frameworks (service engines, API backed business functions, data integration) for business process execution as well as work in Data science projects (planning optimization, pricing/scheduling optimization) and driving the industrialization of the python-based software engineering /development processes.
  • Will be working with the rest of the data analyst team to deliver data science and data integration related projects, designing re-usable solutions.
  • Will create the development and design standards for Python eco system, tools and library selection, packaging, build and deployment, CI/CD processes for Python based deliveries.
  • The role will involve designing and developing risk and trading functionality that can cover MtM calculations, VaR and shocking, PnL calculation, Position reporting and Trade pricing.
  • The role will also work with rest of the technology organization to improve the SDLC rigor including automated testing, automated build and deployment, design and coding best practices.
  • Will be proactive in active engagement to resolve issues, collaborate with rest of the development organization to deliver the technology strategy defined by CIO.
  • Be the leader for Python development in Targray and drive the industrialization of the Python engineering processes.
Requirements
  • Bachelor\xe2\x80\x99s degree in Computer science.
  • 8+ years in software development and 3-4+ years solid hands-on experience in Python development in developing enterprise software systems.
  • Strong experience in Python frameworks like numpy, pandas, scipy, machine learning and AI libraries, ML and data integration tools like Apache Spark, using Python REST and Web Socket APIs in actual real-life projects.
  • Good experience and knowledge in working in data integration/processing projects and deliverables including data integration and ETL.
  • Worked in Agile delivery methodologies and familiar with agile ceremonies.
  • Detailed knowledge and experience in design patterns spanning all layers of an application architecture (mid-tier, business logic layer, integration and data layer).
  • Experience in using unit, component and integration testing with pytest scripting as part of development process, using continuous integration (Jenkins, Axure DevOps) and using build tools like setup tools and anaconda is must.
  • Experience in working in financial services, Trading and risk domain either in an enterprise or a software product company is definitely an asset.
  • Good knowledge in data science topics (supervised/unsupervised ML, Deep learning topics) is an asset.
  • Ability to instrument code, monitor application execution, identify issues and solve them objectively and performance engineering are key needs.
  • Good experience in using Linux/ Windows OS and accessing/working with cloud IaaS services (hosted VMs) as well as containerized solutions like docker/ Kubernetes.
  • Knowledge in SQL and NoSQL database architectures, writing performant SQL and MongoDB queries and understanding and appreciation of how databases work and utilizing efficient ORM technologies /or alternate efficient data access tools is very important.
Benefits
  • A competitive remuneration plan and an excellent working environment in a growing multinational organization.
  • Beautiful, spacious and modern workplace environment.
  • Flexible work arrangement policy.
  • Generous company-wide profit-sharing plan.
  • Off-site Team Building and experiential development.
  • Life Insurance and Accidental Insurance for Self.
  • Free Medical Insurance for Self and Family.
  • Weekly Team Lunches.
  • Gym Benefits.
  • Corporate Team Fun Activities.
Diversity & Inclusion

Diversity and inclusiveness are at the heart of who we are and how we work. We are committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We welcome and embrace the diverse experiences, abilities, backgrounds, and perspectives that make our people unique and help guide us. When people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

For more information about our company, please visit . #LI-Hybrid

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Job Detail

  • Job Id
    JD3072553
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Gurgaon, Haryana, India
  • Education
    Not mentioned
  • Experience
    Year