Job description

Jobs in USA Azure Databricks Snowflake Data Engineer with Python & SQL experience Azure Databricks Snowflake Data Engineer with Python & SQL experience Technology Lead - US Job details Work Location Bellevue, WA State / Region / Province Washington Country USA Salary min 80127 Salary max 117128 Skills Technology|Analytics - Packages|Python - Big Data, Technology|Oracle|PL/SQL|Technology|Analytics - Packages|Python - Big Data, Technology|Oracle|PL/SQL|Technology|Analytics - Packages|Python - Big Data, Technology|Oracle|PL/SQL|Technology|Analytics - Packages|Python - Big Data, Technology|Oracle|PL/SQL Domain Delivery Interest Group Infosys Limited Company ITL USA Requisition ID 139736BR Job description Infosys is looking for Lead Data Engineer with deep expertise in Azure, Databricks, Snowflake, Python & SQL to lead the design, development, and optimization of scalable data pipelines and analytics solutions. The ideal candidate will have a strong background in cloud data platforms, data architecture, and team leadership, with a passion for solvingplex data challenges in a collaborative environment. You'll collaborate with Product Owners, Data engineers, Analysts, and other stakeholders to understand requirements and deliver solutions in an entrepreneurial culture w teamwork is encouraged, excellence is rewarded, and diversity is valued. Required Qualifications: Candidate must be located withinmuting distance of Bellevue, WA 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 At least 4 years of Information Technology experience At least 3 years of experience in Azure At least 3 years of experience in Databricks & Snowflake At least 3 years of experience in Python, SQL & Control-M Strong knowledge of modern data warehouse architecture and data modeling Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are wee to . Infosys is unable to provide immigration sponsorship for this role at this time Preferred Qualifications: Experience working in Agile environments Strong experience with PySpark / Scala & Airflow Experience in project development lifecycle activities and maintenance/support. Ability to translate requirements into technical solutions meeting quality standards. Collaboration skills in diverse environments to identify and resolve data issues. Strongmunication, problem-solving and analytical abilities. Experience in global delivery environments. Commitment to staying current with industry trends in modern data warehousing. The job entails sitting as well as working at aputer for extended periods of time. Should be able tomunicate by telephone, email or face to face. Travel may be required as per the job requirements. Along withpetitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off About Us 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. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. 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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