Senior Data Engineer at ZS
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Summary
ZS is hiring a Senior Data Engineer / Data Engineering Lead in Toronto (hybrid) to design scalable data systems, build and optimize ETL pipelines, and establish data governance and quality practices while mentoring junior engineers. Core tech includes SQL, Python, cloud data platforms, and big data tools like Hadoop and Spark.
Become a Senior Data Engineer at ZS, where innovation meets impact. Drive cutting-edge data architectures and lead teams in a hybrid work environment.
ZS is searching for a Data Engineering Lead to design and oversee scalable data systems. This senior role requires constructing ETL pipelines, collaborating with cross-functional teams, and ensuring data governance. The position offers a chance to mentor junior professionals while driving effective data-driven solutions.
Key Responsibilities: • Oversee design and implementation of scalable data systems • Collaborate with teams for effective data architecture • Develop software processes for seamless data movement • Design and optimize ETL pipelines for quality data • Establish data governance and quality assurance practices
Requirements: • Bachelor's degree in Computer Science or related field • 8-10+ years of data engineering experience • Proficiency in SQL, Python, or related languages • Strong understanding of cloud-based data platforms • Experience with big data technologies like Hadoop or Spark
Lead transformative data engineering initiatives while fostering growth at ZS.
ZS is searching for a Data Engineering Lead to design and oversee scalable data systems. This senior role requires constructing ETL pipelines, collaborating with cross-functional teams, and ensuring data governance. The position offers a chance to mentor junior professionals while driving effective data-driven solutions.
Key Responsibilities: • Oversee design and implementation of scalable data systems • Collaborate with teams for effective data architecture • Develop software processes for seamless data movement • Design and optimize ETL pipelines for quality data • Establish data governance and quality assurance practices
Requirements: • Bachelor's degree in Computer Science or related field • 8-10+ years of data engineering experience • Proficiency in SQL, Python, or related languages • Strong understanding of cloud-based data platforms • Experience with big data technologies like Hadoop or Spark
Lead transformative data engineering initiatives while fostering growth at ZS.