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You will be updated with latest job alerts via emailEssential Duties and Responsibilities:
Including but are not limited to:
Design develop and maintain highquality secure data pipelines and processes to manage and transform data efficiently.
Lead the architecture and implementation of data models schemas and integrations that support business intelligence and reporting needs.
Collaborate with crossfunctional teams to understand data requirements and deliver optimal data solutions that align with business goals.
Maintain and enhance data infrastructure including data warehouses lakes and integration tools.
Provide guidance on best practices for data management security and compliance.
Support Power BI and other visualization tools ensuring consistent and reliable access to data insights.
Oversee the delivery of data initiatives ensuring they meet project milestones KPIs and deadlines.
Qualifications :
Education and Training Required:
Bachelors degree in Computer Science Data Science or a related field or equivalent experience.
Minimum Experience:
5 years of experience in data engineering or related fields.
2 years of experience with Power BI or similar data visualization tools.
Knowledge and Skills:
Proficiency with data engineering tools and technologies (e.g. SQL Python ETL tools).
Strong experience with Power BI for data visualization and reporting.
Familiarity with cloudbased data platforms (e.g. AWS Azure Google Cloud).
Experience with data modelling data warehousing and designing scalable data architectures.
Strong knowledge of database systems (e.g. SQL Server Oracle PostgreSQL).
Experience working in an Agile development environment.
Excellent communication skills to work effectively with both technical and nontechnical stakeholders.
Ability to multitask and manage multiple projects simultaneously.
Problemsolving mindset with a desire to continuously improve data processes.
Additional Information :
#LILC1
#LIRemote
Remote Work :
Yes
Employment Type :
Fulltime
Remote