Job Title: Big Data ETL Developer
Primary Skill: Big Data ETL
Location: Mississauga, ON
Job Type: Full-Time (Hybrid)

Job Description:
We are seeking a skilled Big Data ETL Developer to design, develop, and maintain large-scale data pipelines and ETL processes. The candidate will work with big data technologies to process, transform, and manage large volumes of structured and unstructured data.

Key Responsibilities:

• Design and develop ETL pipelines for big data processing.

• Work with big data technologies such as Hadoop, Spark, and Hive.

• Extract, transform, and load data from multiple sources into data platforms.

• Optimize data processing workflows and ETL jobs for performance and scalability.

• Collaborate with data engineers, analysts, and business teams to support data requirements.

• Ensure data quality, integrity, and governance.

• Troubleshoot ETL failures and performance issues.

• Document data pipelines and technical processes.

Required Skills & Qualifications:

• Strong experience in Big Data and ETL development.

• Proficiency in SQL, Python, or Scala.

• Hands-on experience with Hadoop ecosystem tools (Spark, Hive, HDFS).

• Experience with data pipeline orchestration tools.

• Knowledge of data warehousing and big data architecture.

• Strong analytical and problem-solving skills.

Preferred Qualifications:

• Experience with cloud data platforms such as AWS, Azure, or GCP.

• Familiarity with Kafka or real-time data streaming technologies.

• Experience with CI/CD pipelines and data engineering best practices.