À propos
data pipelines (ETL/ELT) Develop and optimize
complex SQL queries, stored procedures, and data transformations Design and maintain
relational databases and data warehouse structures Improve performance through
query tuning, indexing, and schema optimization Ensure
data quality, integrity, and security
across systems Work with cross-functional teams to support
analytics and reporting needs Maintain clear
documentation of data models, pipelines, and workflows What They’re Looking For 5+ years of experience in
data engineering or similar role Strong expertise in: Advanced SQL (CTEs, window functions, query optimization) Relational databases and data modeling Experience building and managing
ETL/ELT pipelines Experience with
cloud data platforms (Azure preferred) Proficiency in
Python for data processing and automation Strong problem-solving and analytical skills Nice to Have Experience with tools like
Azure Data Factory, SSIS, or similar Exposure to
NoSQL databases (MongoDB, Cosmos DB) Experience with
big data tools (Spark, Kafka) Relevant certifications in cloud or data engineering Why This Role Opportunity to work on
end-to-end data infrastructure High visibility across business and technical teams Strong focus on
data quality, performance, and scalability Collaborative environment with growth potential Skills Data Engineering SQL (Advanced) ETL / ELT Development Azure Data Services Python Data Modeling Database Design Query Optimization Data Warehousing Data Pipeline Development
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.