Infosys is seeking a highly experienced Data Engineering & Big Data Architect to join our team and perform Technical Product management/Data analyst tasks and own the development of a Tiered data architecture for our data platform. In this role, they would be responsible for crafting and building a comprehensive data architecture that will enable seamless data integration and enable the delivery of high-quality insights to our leadership and business stakeholders. You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions, lead, and participate in sales and pursuits focused on our clients’ business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Candidate must be located within commuting distance of Austin, TX/ Sunnyvale, CA or be willing to relocate to the area. This position may require travel to project locations

REQUIRED QUALIFICATIONS:

• 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 7 years of experience in Information Technology.
• Experience with Hadoop distributed frameworks while handling large amount of data using Spark or PYSpark and Hadoop Ecosystems.
• Proven experience in data engineering, data architecture, or a related field
• Experience with Spark or PySpark is required.
• Strong understanding of data modeling, data warehousing, and ETL concepts
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop or Spark
• Experience with Scala or Python is required.

PREFERRED QUALIFICATIONS:

• Experience in understanding of Design Patterns, ability to discuss tradeoffs between RDBMS vs Distributed Storage
• At least 5 years of Experience with Spark or PySpark, Python, Scala and Data Engineering
• Experience in design and implementing a tiered data architecture that integrates analytics data from multiple sources in an efficient and effective manner.
• Experience with data orchestration tools like Airflow is a nice to have.
• Excellent problem-solving and analytical skills, and the ability to work well under tight deadlines.
• Excellent interpersonal skills and the ability to collaborate effectively with cross-functional teams.
• Experience in developing data models and mapping rules to transform raw data into actionable insights and reports.
• Experience in collaborating with the analytics and business teams to understand their requirements, with cross-functional teams to define and implement data governance policies and standards.
• Experience in developing data validation and reconciliation processes to ensure data quality and accuracy is met.
• Experience with development and maintenance of user documentation, including data models, mapping rules, and data dictionaries.
  Estimated annual compensation range for candidate based in the below locations will be:
  Sunnyvale, CA- $104079 -$175310

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

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.

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.

Please refer the Job description for details