Infosys - Richardson, TX

posted 2 months ago

Full-time
Richardson, TX
Professional, Scientific, and Technical Services

About the position

Infosys is seeking an Azure and Databricks Data Engineer to enable digital transformation for our clients in a global delivery model. In this role, you will be responsible for researching technologies independently, recommending appropriate solutions, and contributing to technology-specific best practices and standards. You will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle (SDLC). This position is part of a learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. As an Azure and Databricks Data Engineer, you will play a crucial role in the implementation of projects, ensuring that all aspects of the project lifecycle are managed effectively. You will be expected to leverage your experience in Azure, Databricks, Python, PySpark, and SQL to deliver high-quality solutions that meet client needs. Your ability to work in a diverse, multi-stakeholder environment will be essential, as you will collaborate with both business and technology teams to achieve project goals. The role may also require travel within the United States, and candidates must be authorized to work for any employer in the U.S. without employer-based visa sponsorship.

Responsibilities

  • Enable digital transformation for clients in a global delivery model.
  • Research technologies independently and recommend appropriate solutions.
  • Contribute to technology-specific best practices and standards.
  • Interface with key stakeholders throughout the Software Development Life Cycle.
  • Apply technical proficiency across different stages of project implementation.
  • Collaborate with business and technology teams in a diverse environment.

Requirements

  • Bachelor's degree or foreign equivalent from an accredited institution.
  • At least 2 years of Information Technology experience.
  • At least 2 years of experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.
  • Strong knowledge and hands-on experience in SQL and Unix shell scripting.

Nice-to-haves

  • Sound knowledge of software engineering design patterns and practices.
  • Strong knowledge of data structures, data engineering concepts, algorithms, collections, multi-threading, memory management, and concurrency.
  • Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL.
  • Good understanding of Agile software development frameworks.
  • Experience in the Banking/Financial domain.
  • Good to have experience in Snowflake.
  • Strong communication and analytical skills.
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