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We are looking for a skilled Big Data ETL Developer to join our team in Mississauga, ON in a hybrid work environment. The ideal candidate will be responsible for designing, developing, and maintaining scalable ETL pipelines and big data solutions to support data integration and analytics initiatives.
Job Responsibility:
Design, develop, and maintain ETL processes for large-scale data processing
Build and optimize data pipelines for ingesting, transforming, and loading data from multiple sources
Work with structured and unstructured data in big data environments
Collaborate with data architects, analysts, and engineering teams to deliver data solutions
Ensure data quality, reliability, and performance of ETL workflows
Troubleshoot and resolve data processing and performance issues
Support data integration and reporting needs across the organization
Requirements:
Strong experience in ETL development and data integration
Hands-on experience with Big Data technologies such as Hadoop, Spark, or Hive
Proficiency in SQL and data transformation techniques
Experience with ETL tools like Informatica, Talend, or Apache NiFi
Familiarity with data warehousing concepts and data modeling
Experience working with cloud platforms such as AWS, Azure, or GCP
Strong analytical and problem-solving skills
Nice to have:
Experience with Python or Scala for data processing