Overview Opportunity to work with one of the largest and most advanced Data Engineering teams in the country. As a Senior Data Engineer with expertise in software development / programming and a passion for building data-driven solutions, you\'re ahead of trends and work at the forefront of Big Data and Data Warehouse technologies. Responsibilities Passionate about building next generation data platforms and data pipeline solutions across the bank. Execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks. Create both technology blueprints and engineering roadmaps for a multi-year data transformational journey. Provide data driven solutions that source data from various enterprise data platforms into a Cloudera Hadoop Big Data environment, using technologies like Spark, MapReduce, Hive, Sqoop, Kafka; transform and process the source data to produce data assets; and transform and egression to other data platforms like Teradata or RDBMS systems. Build effective and efficient Big Data and Data Warehouse frameworks, capabilities, and features, using languages such as Scala, Java, or Python, with data quality assurance and security controls. Design, build, and deliver optimized enterprise-wide data ingestion, data integration and data pipeline solutions for Big Data and Data Warehouse platforms. Lead and mentor other data engineers in a project or initiative. Have experience and responsibility for data security and data management. Technical skills Experience designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions using Scala, Java, or Python in Big Data and Data Warehouse platforms; preferably 5+ years in a Data Engineering role. Experience building data solutions on Hadoop with Spark, MapReduce, Sqoop, Kafka and various ETL frameworks for distributed data storage and processing; preferably 5+ years. Strong Unix/Linux shell scripting and programming skills in Scala, Java, or Python. Proficient in SQL scripting, writing complex SQLs for building data pipelines. Experience in leading and mentoring data engineers, including ownership of internal business stakeholder relationships and working with consultants. Experience in working in Agile teams, including collaboration with internal business stakeholders. Familiarity with data warehousing and/or data mart build experience in Teradata, Oracle or RDBMS systems is a plus. Certification on Cloudera CDP, Hadoop, Spark, Teradata, AWS, Ab Initio is a plus. Experience with Ab Initio software products (GDE, CoOperating System, ExpressIt, etc.) is a plus. Experience with AWS technologies (EMR, Redshift, DocumentDB, S3, etc.) is a plus. #J-18808-Ljbffr