{"id":2439186,"url":"https://alion.io/job/v-elegant-data-engineer","title":"Data Engineer","company":{"id":3806794,"name":"V-Elegant","domain":"velegant.com.sg","url":"https://alion.io/company/v-elegant","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":8000,"max":10000,"currency":"SGD","period":"month","gross":true,"usd_annual":93720},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"HBase","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data 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from a wide variety of data sources.\nCollaborate with Data Scientists, Machine Learning Engineers, Business Analysts, and Business users to derive actionable insights on data quality.\nDesign and implement internal processes to automate manual workflows,optimize data delivery, and re-design infrastructure for greater scalability.\nSupport and work with cross-functional teams in a dynamic environment.\nRequirements\nAt least 5 years of experience ina data engineer role.\nBe familiar with data lake, data warehouse and data lake house architectures.\nBe familiar with MDM processes such as golden record creation, survivorship, reconciliation, enrichment, and quality.\nExperience building and operating large-scale data lakes and data ware houses.\nExperience with Hadoop ecosystem and big data tools, including Spark and Kafka.\nExperience with Master Data Management (MDM) tools and platforms such as Informatica MDM, Talend Data Catalog, Semarchy xDM, IBM PIM & IKC, or Profisee.\nExperience in data governance, including data quality management, data profiling, data remediation, and automated data lineage.\nExperience with stream-processing systems including Spark-Streaming.\nExperience working with Cloud services using one or more Cloud providerssuch as Azure, GCP, or AWS.\nExperience with Delta Lake and Databricks.\nAdvanced working experience with relational SQL and NoSQL databases, including Hive, HBase, and Postgres.\nDeep understanding of SQL and the ability to optimize data queries.\nExperience with object-oriented/object function scripting languages:Python, Java, Scala, etc.\nA successful history of manipulating, processing, and extracting value from large, disconnected datasets.\nExperience applying modern development principles (Scrum, TDD,continuous integration, and code reviews).\nProven ability to support and work with cross-functional teams in adynamic environment.\nExperience with ETL tools such as Talend Big Data, Azure Data Factory,etc.\nExperience working with Hortonworks Data Platform or Cloudera Data Platform.\nExperience with Metadata Management tools.\nExperience working on projects for Master Data Management.\nExposure to Data Governance processes and tools.\nProven ability in supporting and working with cross-functional teams in a dynamic environment.\nSkills\nComplex Data Sources, Workflow Automation, Stream Processing, Data Pipeline, AWS, Data Warehouse Architectures, Azure Cloud Services, Data Profiling, Cross Functional Team Building, Apache Hadoop, Data Management Services, Data Lake, Process Management, Data Quality Management, Data Science, Master Data 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