Big Data Spark Lead Engineer

Infosys is seeking a Big Data Spark Lead Engineer. In this role, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition, and warranty. 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 within the US.

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 4 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.

• Experience in understanding of Design Patterns, ability to discuss tradeoffs between RDBMS vs Distributed Storage
• At least 3 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.