Amaze - Cloud Data Engineer
HexawareJobsCloseBy Editorial Insights
Hexaware is seeking a PySpark Consultant – Data Engineer to support large scale SAS modernization and data migration initiatives in New Zealand. This full time onsite role requires hands on PySpark, Spark SQL, and Hadoop ecosystem expertise, plus strong familiarity with cloud data platforms such as Azure Databricks, AWS EMR, or GCP BigQuery. You will migrate legacy SAS systems to modern big data environments, design PySpark and Spark SQL solutions for large scale processing, collaborate with architecture teams on migration strategies, and ensure data quality, governance, and performance. To apply, tailor your resume to demonstrate end to end project delivery, leadership, and SAS to modern data stack migrations, with concrete metrics, case studies, and links to relevant work.
Job Description: PySpark Consultant – Data Engineer We are seeking a PySpark Consultant – Data Engineer to join our New Zealand team, supporting large-scale SAS Modernization and Data Migration initiatives. The role requires hands-on expertise in PySpark, Spark SQL, Hadoop ecosystems, and strong understanding of modern cloud data platforms (Azure, AWS, or GCP). Key Responsibilities - Support SAS Modernization projects, migrating legacy systems to modern big data and cloud environments. - Design and implement PySpark and Spark SQL solutions for large-scale data processing and analytics. - Collaborate with architecture teams to define migration strategies across Hadoop and Cloud data ecosystems. - Ensure data quality, governance, and performance optimization in transformed environments. - Act as a technical developer throughout project delivery. Required Skills & Experience - Strong hands-on experience in PySpark, Spark SQL, and distributed data processing. - Knowledge of Hadoop, Hive, and related big data components. - Exposure to cloud-native data platforms (Azure Databricks, AWS EMR, or GCP BigQuery). - Experience with SAS to modern data stack migration projects is highly desirable. - Excellent problem-solving and leadership skills to drive end-to-end project execution.