Job details
Work Location
Atlanta, GA, Bellevue, WA, Dallas, TX
State / Region / Province
Georgia, Texas, Washington
Country
USA
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|Technology|Analytics - Packages|Python - Big Data, Technology|Oracle|PL/SQL
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
136198BR
Job description
Infosys is looking for
Lead Data Engineers 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 solving complex 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 where teamwork is encouraged, excellence is rewarded, and diversity is valued.
Required Qualifications: - Candidate must be located within commuting distance of Atlanta, GA or Dallas, TX or 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
- All applicants authorized to work in the United States are encouraged to apply
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.
- Strong communication, 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 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.
Estimated annual compensation range for candidate based in the below location will be
Bellevue, WA: $80,127 to $110,094
Along with competitive 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 UsInfosys 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.
