Data Engineer 4

• Solve complex engineering problems and lead system design and development activities.
• Understand business processes, a bigger picture and core ideas behind the developed software.
• Define engineering guidelines and quality control pipeline; perform code reviews.
• Advocate and advance toward cutting edge engineering practices.
• Working in the Agile development methodologies, collaborating with business and technology teams located globally.
• Actively contribute and participate in sprint grooming and planning discussions, daily stand-ups, and Agile ceremonies
• Work with various teams and stakeholders across geography and time zones.

• 5 7 years of experience in data-focused roles.
• Strong proficiency in developing and maintaining database objects, including stored procedures and functions.
• Demonstrated experience in database design and development, advanced SQL/PL/SQL, and performance tuning (SQL Server preferred).
• Hands-on expertise with enterprise database platforms such as DB2, SQL Server, Oracle, and/or Teradata.
• Solid ETL and BI experience, including tools such as Informatica and Tableau or Power BI.
• Excellent communication skills with the ability to partner effectively with both business users and IT teams across regions, and to lead delivery of IT outcomes.
• Proven ability to collaborate with stakeholders and partners across geographies and time zones.
• Strong growth mindset with a track record of personal excellence, collaboration, and continuous improvement.
• Understanding of large-scale enterprise application requirements, including security controls, entitlements, and related governance considerations.
• Experience working within Agile delivery methodologies (e.g., Scrum/Kanban).

Skills Desired:

• Proficiency with Git and modern source control/development workflows (e.g., branching, code reviews, CI-friendly practices).
• Strong computer science fundamentals, including scalable, resilient system design and sound engineering principles.
• Hands-on experience building and maintaining BI dashboards using Tableau and/or Power BI.
• Experience working with the Snowflake data platform (e.g., data modeling, performance considerations, and best practices).
• Proven delivery experience in Agile environments (e.g., Scrum/Kanban), including iterative development and stakeholder collaboration.
• Strong Python skills applied to data use cases, including:
• Data engineering and automation (data extraction/transformation, process automation, database/API integrations; e.g., pandas, SQLAlchemy)
• Analytics and reporting (data analysis, reusable workflows; e.g., pandas, NumPy)
• ETL pipeline support (orchestration support, reusable utilities, and data quality validation/checks)
• Working knowledge of database fundamentals, covering both relational and NoSQL technologies.
• Basic familiarity with DevOps concepts and practices (e.g., CI/CD fundamentals, environment management, and deployment hygiene).