31 Aug
|
Akkodis
|
Toronto
Location: Toronto, ON Hybrid (3 days Onsite- Tue, Wed, Thursday)Total Experience: 8-10 YearsAWS: 5 YearsDatabricks: 1-2 Years.Note: Citizens or PR only considered for the TCS role, sorry, OWP won't work.ResponsibilitiesDesign, develop, and maintain scalable and robust data pipelines on Databricks.Collaborate with data scientists and analysts to understand data requirements and deliver solutions.Optimize and troubleshoot existing data pipelines for performance and reliability.Ensure data quality and integrity across various data sources.Implement data security and compliance best practices.Monitor data pipeline performance and conduct necessary maintenance and updates.Document data pipeline processes and technical specifications.QualificationsBachelor's degree in Computer Science, Engineering, or a related field.5+ years of experience in data engineering.Proficiency with Databricks and Spark.Solid SQL skills and experience with relational databases.Experience with big data technologies (e.G., Hadoop, Kafka).Knowledge of data warehousing concepts and ETL processes.Excellent problem-solving and analytical skills.SkillsDatabricksSQLPythonData WarehousingETLHadoopKafkaSeniority levelMid-Senior levelEmployment typeContractJob functionInformation TechnologyBanking#J-18808-Ljbffr
📌 Aws Databrciks Engineer (Toronto)
🏢 Akkodis
📍 Toronto