Data Engineer

Infosys-posted 4 months ago
Phoenix, AZ
5,001-10,000 employees
Professional, Scientific, and Technical Services
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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.

  • 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.
  • 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).
  • 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.
  • 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.
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