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data mining analyst

Title posted on CareerBeacon - Data Engineer - GCP

Posted on April 22, 2026 by Employer details Scotiabank

Job details

Requisition ID: 254954 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The Lead Data Engineer will play a key role in designing and implementing data solutions using Big Data, Hadoop (Cloudera) and Google cloud working closely with the enterprise data team and data architects, solution architects, business systems analyst and data engineersIs this role right for you? In this role you will:Helping development efforts in ingesting and transforming data from various sources. Working in the Big Data/ Hadoop environment, should be hands on in writing code, building scripts, writing specifications and responsible for end to end delivery of data in the Enterprise Data Lake environmentBuild distributed, reliable and scalable data pipelines to ingest and process data from multiple data sourcesDesigning, building, operationalizing the data platform using Google Cloud Platform (GCP) data services such as DataProc, Dataflow, CloudSQL, BigQuery, CloudSpanner in combination with third parties such as Spark, Apache Beam/ composer, DBT, Cloud PubSub, Confluent Kafka, Cloud storage Cloud Functions &amp; GithubDesigning and implementing data ingestion patterns that will support batch, streaming and API interface on both the Ingress and Egress.Guide a team of data engineers and work hands on in developing framework and custom code using best practices that will meet the demanding performance requirementsTake a lead in designing and building production data pipelines from data ingestion to consumption using GCP services, Java, Python, Scala, BigQuery, DBT, SQL etc.Experience using Cloud Dataflow using Java/Python for deploying streaming jobs in GCP as well as batch jobs using text/JSON files and writing them to BigQueryBuilding and managing data pipelines with a deep understanding of workflow orchestration, task scheduling and dependency managementProvide end-to-end technical guidance and expertise on how to effectively use Google Cloud to build solutions; creatively applying cloud infrastructure and platform services to help solve business problems; and communicating these approaches to different business usersProvide guidance on Implementing application logging, notification, jobs monitoring and performance monitoringDo you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:2+ years of experience in data engineering, performance optimization for large OLTP applicationsKnowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop.Knowledge with the primary managed data services within GCP, including DataProc, Dataflow, BigQuery/DBT, Cloud Spanner, Cloud SQL, Cloud Pub/Sub etc.Knowledge with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL)Working experience in HQLGood knowledge of the concepts of Hadoop.Knowledge working with relational/NoSQL databasesKnowledge with data streaming and technologies such as Kafka, Spark-streaming etc.Knowledge with Infrastructure as Code (IaC) practices and frameworks like TerraformKnowledge of Java microservices and Spring BootStrong architecture knowledge with experience in providing technical solutions for cloud infrastructure.Working knowledge of developing and scaling JAVA REST services, using frameworks such as SpringGood communication and problem-solving skills. Ability to effectively convey ideas to business and technical teamsNice-To-Have Skills:Understanding of Wealth business line and the various data domains required for building an end to end solutionWhat's in it for you?Diversity, Equity, Inclusion &amp; Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive v