We are looking for two Mid to Senior Data Engineers to join our team and support complex data governance and analytics initiatives. The roles involve managing data pipelines and contributing to large-scale projects involving CRM, banking data, and advanced analytics environments such as Databricks.**Technologies: SQL, SAS Viya or Dataflux, Databricks, CRM, Banking Data Pipelines
Key Responsibilities
Analyze, design, and optimize complex data pipelines across CRM and banking data environments.
Work with stakeholders to redesign or rebuild existing ETL and reporting flows to improve efficiency, quality, and performance.
Ensure data governance processes are implemented and aligned with industry standards.
Develop and maintain workflows using tools such as SAS Viya or Dataflux, where applicable.
Participate in the definition and execution of data quality rules and lineage tracking.
Collaborate with Data Architects and Analysts to ensure data assets are consistent, secure, and accessible.
Requirements
Requirements
3-4 years of experience in data engineering, with demonstrated experience in data pipeline design and optimization.
Strong SQL skills and experience working with large data sets.
Hands-on experience with either SAS Viya, Dataflux, or similar governance tools.
Familiarity with Databricks, Spark, or similar platforms for distributed data processing.
Experience working on CRM or banking data environments.
Ability to analyze and refactor legacy pipelines and reports.
Understanding of data quality frameworks and data stewardship best practices.
Bachelor’s degree in Computer Science, Data Engineering, or related field.
Fluency in English (spoken and written).
Benefits
Why join inventYOU
Work in a highly skilled and motivated team.
Gain access to modern tools and data environments (Databricks, SAS Viya, etc.).
Competitive compensation tailored to your expertise and role level.
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