
Data Transformation Expert
3 days ago
Data Engineering Specialist
We are seeking an experienced professional to guide and assist our clients' data modernization journey.
The ideal candidate will be a primary point of contact for clients, responsible for designing, developing, deploying, and supporting the modernization and transformation of client's end-to-end data strategy.
This role requires strong knowledge of SQL Servers, data engineering, on platforms such as Azure Data Factory, Databricks, Data Lake, and Synapse.
Azure Data Engineer Associate or Fabric Data Engineer Associate certification is required, along with experience working in consulting or contracting capacity in large data management and modernization programs.
The successful candidate will have a strong understanding of security and corporate governance issues related with cloud-first data architecture, as well as accepted industry solutions.
Key Responsibilities:
- Consulting clients on cloud-first strategies for core data initiatives
- Providing thought leadership on both process and technical matters
- Becoming a champion and trusted advisor to our clients on all facets of Data Engineering
- Designing, developing, deploying, and supporting the modernization and transformation of client's end-to-end data strategy, including infrastructure, collection, transmission, processing, and analytics
- Mentoring and educating client's teams to keep them up to speed with the latest approaches, tools, and skills, and setting them up for continued success post delivery
Required Skills and Qualifications:
- Azure Data Engineer Associate or Fabric Data Engineer Associate certification
- Experience working in consulting or contracting capacity in large data management and modernization programs
- Strong knowledge of SQL Servers, data engineering, on platforms such as Azure Data Factory, Databricks, Data Lake, and Synapse
- Knowledge of Delta Lake and Lakehouse Architecture
- Knowledge of securing Azure environment, such as RBAC, Key Vault, and Azure Security Center
- Knowledge of Kafka and Spark and experience using them in a production environment
- Scripting skills and Infrastructure as Code (IaC) experience using PowerShell, Bash, and ARM templates
- Understanding of security and corporate governance issues related with cloud-first data architecture, as well as accepted industry solutions
Benefits:
- Opportunity to work with experienced senior engineers and leading-edge technologies
- Chance to develop creative solutions for clients' complex data challenges
- Collaborative and dynamic work environment
Others:
This role is perfect for professionals who are passionate about data engineering and want to make a meaningful impact on clients' businesses.
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