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MABASA / LINKEDIN

Lead Data Engineer (Banking)

Unison Group

Location
Singapore, Singapore
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

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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