Senior Data Engineer

Responsibilities

• Design and develop data solutions.
• Build, maintain, and optimize data pipelines and workflows that support reporting, analytics, and business applications using SQL, Informatica, IICS, and Snowflake.
• Develop and manage data preparation routines for extracts, transformations, and reporting datasets, ensuring reliability and performance.
• Create and maintain logical and physical data models following normalization principles and best practices.
• Tune queries for optimal performance across Snowflake and Oracle environments.
• Work with various structured and semi-structured data formats (XML, JSON) and leverage AWS cloud frameworks for scalable data integration and processing.
• Ensure compliance with data security policies and implement best practices for data protection, integrity, and confidentiality.
• Partner with data analysts, developers, and business stakeholders to define data requirements, streamline processes, and improve data accessibility for reporting tools such as Power BI.
• Recommend and implement improvements to data architecture, workflows, and governance processes.
• Serve as a mentor to junior team members and promote a culture of curiosity and continuous learning.

• Bachelor’s degree in Computer Science, Information Systems, or a related field; equivalent work experience considered.
• 5+ years of experience in data engineering or database development.
• Demonstrated expertise in SQL development and query tuning.
• Demonstrated expertise in Informatica and IICS for ETL and data integration.
• Demonstrated expertise in Snowflake data warehouse architecture and development.
• Demonstrated expertise in Oracle database systems.
• Demonstrated expertise in Power BI for data visualization and reporting enablement.
• Demonstrated expertise in data modeling, normalization, and relational design.
• Demonstrated expertise in handling and transforming XML and JSON data structures.
• Demonstrated expertise in building data solutions in an AWS cloud environment.
• Strong problem‑solving abilities and the capacity to work independently on complex technical challenges.
• Deep understanding of data security, governance, and compliance best practices.
• High degree of self‑motivation, intellectual curiosity, and commitment to continuous improvement.

• SQL
• Informatica
• IICS
• Snowflake
• Oracle
• Data modeling
• Normalization
• ETL
• Data integration
• Data visualization

• Problem‑solving
• Independence
• Curiosity
• Continuous improvement
• Collaboration
• Leadership
• Mentoring
• Communication
• Stakeholder engagement
• Process improvement