Cloud Data Engineer implementing tailored solutions for Volkswagen Group data processing. Building ETL/ELT pipelines while collaborating with technical experts.
About the role
- Lead Data Engineer shaping enterprise data platform at Ness Digital Engineering. Designing data solutions, optimizing performance, and mentoring engineering teams in financial services domain.
Responsibilities
- Lead the data architecture and engineering strategy, ensuring alignment with business and technology roadmaps
- Design and implement data models, pipelines, and data integration frameworks across multiple platforms
- Partner with stakeholders to translate business requirements into scalable data solutions
- Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake
- Drive adoption of best practices in data engineering design patterns and modern cloud architectures
- Implement and monitor data validation procedures to ensure data accuracy and consistency across systems
- Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals
- Mentor and guide data engineering teams (onsite & offshore) to deliver high-quality outcomes
- Ensure compliance with data governance, security, and privacy standards
- Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic
- Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field
- 8+ years of experience in data engineering with a strong focus on Data Architecture, Data Modelling (Conceptual, Logical, Physical), ELT processes and data pipeline development
- Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization
- Proficiency in SQL and familiarity with data integration and ETL/ELT tools
- AWS Technologies (Glue, EMR)
- Python for data engineering workflows
- Strong understanding of data engineering design patterns
- Strong problem-solving skills and the ability to work independently to meet deadlines
- Excellent communication skills for effectively interacting with technical and non-technical stakeholders.
Benefits
- Flexible remote options
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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