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PySpark Developer at Infosys
Infosys
Boston, MA
Information Technology
Posted 3 days ago
Job Description
Infosys is seeking a Data Engineer- Pyspark Developer. 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 to interface with key stakeholders and apply 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 Boston, MA or be willing to relocate to the area. This position may require travel in the US.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.All applicants authorized to work in the United States are encouraged to apply.At least 4 years of Information Technology experienceAt least 3+ years of experience in Hadoop platform3+ years' experience in PySpark development4 years minimum experience using Python4+ years of Azure or AWS cloud platform experienceAt least 2 years of Hands-on experience working with Apache Spark and Spark SQL devPreferred Qualifications:Good understanding of data integration, data quality and data architectureGood general knowledge in end-to-end implementation of data warehouse and data martsExperience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured DataExperience in Banking domainStrong communication and Analytical skillsAbility to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teamsExperience and desire to work in a global delivery environmentYou can review the detailed job description and apply officially through the following link: []”
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