Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Data Lead driving design and optimization of data pipelines at Eptura. Leading a high-performing data engineering team with a focus on scalable solutions.
Responsibilities
- Work with stakeholders to understand data requirements and architect end-to-end ETL solutions.
- Design and maintain data models, including schema design and optimization.
- Develop and automate data pipelines to ensure quality, consistency, and efficiency.
- Lead the architecture and delivery of key modules within data platforms.
- Build and refine complex data models in Power BI, simplifying data structures with dimensions and hierarchies.
- Write clean, scalable code using Python, Scala, and PySpark (must-have skills).
- Test, deploy, and continuously optimize applications and systems.
- Lead, mentor, and develop a high-performing data engineering team, fostering a culture of collaboration, innovation, and continuous improvement while ensuring alignment with business objectives.
- Mentor team members and participate in engineering hackathons to drive innovation.
Requirements
- 7+ years of experience in Data Engineering, with at least 2 years in a leadership role.
- Strong expertise in Python, PySpark, and SQL for data processing and transformation.
- Hands-on experience with Azure cloud computing, including Azure Data Factory and Databricks.
- Proficiency in Analytics/Visualization tools: Power BI, Looker, Tableau, IBM Cognos.
- Strong understanding of data modeling, including dimensions and hierarchy structures.
- Experience working with Agile methodologies and DevOps practices (GitLab, GitHub).
- Excellent communication and problem-solving skills in cross-functional environments.
- Ability to reduce added cost, complexity, and security risks with scalable analytics solutions.
- Nice to have:
- Experience working with NoSQL databases (Cosmos DB, MongoDB).
- Familiarity with AutoCAD and building systems for advanced data visualization.
- Knowledge of identity and security protocols, such as SAML, SCIM, and FedRAMP compliance.
Benefits
- Health insurance fully paid–Spouse, children, and Parents
- Accident insurance fully paid
- Flexible working allowance
- 25 days holidays
- 7 paid sick days
- 10 public holidays
- Employee Assistance Program
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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