to lead the design, development, and optimization of advanced data engineering and integration solutions. The ideal candidate will have strong expertise in multicloud environments, large-scale data workflows, and modern data architecture practices.
Responsibilities:
Lead the creation and execution of a forward-thinking data engineering and integration strategy aligned with organizational goals.
Develop and maintain advanced, scalable data engineering frameworks and pipelines.
Integrate diverse data sources to ensure high levels of data quality, availability, and accessibility.
Build sophisticated data models, transformation processes, and storage mechanisms to support analytics across multiple departments.
Collaborate closely with cross-functional stakeholders to understand data needs, prioritize initiatives, and deliver actionable insights.
Establish and enforce data engineering best practices, standards, and governance procedures.
Continuously evaluate emerging technologies and recommend solutions that enhance data integration and architecture.
Ensure data quality, data governance, and compliance with policies such as PDPL and GDPR.
Solve complex technical challenges with agility and efficiency in fast-paced environments.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field.
8+ years of solid experience
in data engineering, preferably in multicloud architectures.
Deep expertise in data architecture, data modeling, ETL processes, data warehousing, and real-time processing.
Hands-on experience with leading technologies such as
Hadoop, Spark, Kafka, SQL/NoSQL databases
, and cloud platforms (AWS, GCP, Alibaba Cloud).
Experience with data orchestration tools and containerization (Docker, Kubernetes) is highly desirable.
Strong understanding of data governance, data quality frameworks, and data security protocols.
Ability to adapt quickly, solve complex problems, and deliver under tight deadlines.
Strong communication and collaboration skills across technical and non-technical teams.
Job Types: Full-time, Contract
Contract length: 12 months
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