Senior Data Engineer at ZS
ZS
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. #J-18808-Ljbffr
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. #J-18808-Ljbffr
Reference: WJ-3875_13809367