Infosys is looking for Data Engineer. You would be a Polyglot focusing on core programming in multiple programming languages, while ensuring performance, quality, scalability and extensibility. Drive Innovation in chosen domain. Work with teams to build enterprise level software applications with predictable agile DevSecOps model. The full stack developer will join a small team that uses new technology to solve challenges for both the front-end and back-end architecture, ultimately delivering amazing experiences for global users.

REQUIRED QUALIFICATIONS:

Candidate must be located within traveling distance of Richardson, TX or Raleigh, NC or be willing to relocate to the area.
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.
Min 4 years of core development experience in below stacks:
4+ years of experience in data analysis, business intelligence, or data product ownership roles.
Experience working with large-scale data warehouses and real-time data environments.

Technical Skills

• Proficiency in SQL for querying and analyzing large datasets.
• Familiarity with data visualization tools (e.g., Power BI, Tableau, Looker).
• Experience working with streaming data technologies (e.g., Kafka, Kinesis, Spark Streaming).
• Understanding of blockchain data structures, smart contracts, and transaction flows.
• Exposure to cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and data catalog tools (e.g., Alation, Collibra, Microsoft Purview).
• Data Stewardship & Governance
• Experience managing business glossaries, metadata, and data lineage.
• Understanding of data quality frameworks and issue resolution processes.
• Familiarity with data privacy and compliance standards (e.g., GDPR, CCPA).
• Product & Communication Skills
• Ability to define and prioritize data product features and enhancements based on stakeholder input.
• Strong communication skills to translate technical data insights into business value.
• Experience working in Agile or cross-functional teams with engineers, analysts, and business stakeholders.

Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time

PREFERRED QUALIFICATIONS:

Experience in data warehousing technologies, ETL/ELT implementations
Sound Knowledge of Software engineering design patterns and practices
Strong understanding of Functional programming.
Experience with Ranger, Atlas, Tez, Hive LLAP, Neo4J, NiFi, Airflow, or any DAG based tools
Knowledge and experience with Cloud and containerization technologies: Azure, Kubernetes, OpenShift and Dockers
Experience with data visualization tools like Tableau, Kibana, etc
Experience with design and implementation of ETL/ELT framework for complex warehouses/marts Knowledge of large data sets and experience with performance tuning and troubleshooting
Building end-to-end data integration and data warehousing solutions for analytics teams.
Planning and Co-ordination skills
Experience and desire to work in a Global delivery environment.
Ability to work in team in diverse/ multiple stakeholder environment.
The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

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