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Unison Group Hiring! Full Time Lead Data Engineer (Banking) in - Ricebowl

Lead Data Engineer (Banking)

Unison Group

Full Time

Singapore

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Working Location

  • Singapore Singapore

Job Description

Responsibilities

Role: Lead Data Engineer (Banking)

Must-have Skills

Banking and domain

  • Production delivery of data pipelines inside banks
  • Customer, account, transaction, payments and AML data
  • Working within bank release, scheduling and change controls

Core data engineering

  • Teradata SQL, BTEQ, TPT and FastLoad/MultiLoad; query tuning
  • Spark (PySpark/Scala), Hive, Impala, HBase, Pig and Hue; Apache Iceberg and Trino; Python and R
  • Historical data processing: snapshots, SCD Type 2 and multi-grain backfills with control totals and validation reports
  • ETL/ELT development, CDC, metadata-driven automation frameworks and parameter-driven SQL generation
  • Reconciliation, data quality and SLA monitoring
  • Performance at scale: tables of 1 billion+ rows and multi-year history

Requirements

Experience:

  • Lead: 12+ years, including 6+ in banking.
  • Senior: 8+ years, including 4+ in banking

Banking and domain

  • Production delivery of data pipelines inside banks
  • Customer, account, transaction, payments and AML data
  • Working within bank release, scheduling and change controls

Core data engineering

  • Teradata SQL, BTEQ, TPT and FastLoad/MultiLoad; query tuning
  • Spark (PySpark/Scala), Hive, Impala, HBase, Pig and Hue; Apache Iceberg and Trino; Python and R
  • Historical data processing: snapshots, SCD Type 2 and multi-grain backfills with control totals and validation reports
  • ETL/ELT development, CDC, metadata-driven automation frameworks and parameter-driven SQL generation
  • Reconciliation, data quality and SLA monitoring
  • Performance at scale: tables of 1 billion+ rows and multi-year history

Integration and platforms

  • Kafka, Spark Streaming, Informatica (PowerCenter, IDMC, IDL) and Talend; REST API development
  • Denodo, Snowflake and NoSQL databases
  • Airflow, Control-M or Autosys; Git, CI/CD, GitOps and Kubernetes

Delivery and communication (Lead)

  • Framework design, code standards, code reviews and estimation
  • Guiding a team of engineers and working with architects and analysts

Good-to-have Skills

  • Databricks: Delta Lake, Unity Catalog and Workflows
  • Data services on Azure, Google Cloud, Huawei Cloud or Alibaba Cloud
  • Data modelling for Qlik Sense or Power BI

Certifications (preferred): Teradata Vantage; Cloudera Data Engineer; Databricks Data Engineer Associate or Professional

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