Infosys Limited
Azure and Databricks Cloud Data Engineer
Infosys Limited, Raleigh, North Carolina, United States, 27601
Azure and Databricks Cloud Data EngineerCompany:
ITL USARequisition ID:
122908BRRole Overview:
Infosys is seeking an Azure and Databricks Cloud Data Engineer. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions, and contribute to technology-specific best practices and standards. You will be responsible for interfacing with key stakeholders and applying your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:Candidate must be located within commuting distance of
Raleigh, NC
or be willing to relocate to the area. This position may require travel in the US.Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.At least 4 years of Information Technology experience.Experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.Strong knowledge and hands-on experience in SQL, Unix shell scripting.
Preferred Qualifications: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.Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams.Experience and desire to work in a global delivery environment.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email, or face to face. Travel may be required as per the job requirements.
Company Overview:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey.
Equal Employment Opportunity:
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
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ITL USARequisition ID:
122908BRRole Overview:
Infosys is seeking an Azure and Databricks Cloud Data Engineer. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions, and contribute to technology-specific best practices and standards. You will be responsible for interfacing with key stakeholders and applying your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:Candidate must be located within commuting distance of
Raleigh, NC
or be willing to relocate to the area. This position may require travel in the US.Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.At least 4 years of Information Technology experience.Experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.Strong knowledge and hands-on experience in SQL, Unix shell scripting.
Preferred Qualifications: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.Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams.Experience and desire to work in a global delivery environment.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email, or face to face. Travel may be required as per the job requirements.
Company Overview:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey.
Equal Employment Opportunity:
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
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