Senior Data Engineer - Scalable Pipelines for Financial Data

ACCENTURE PTE LTD; Singapore; Sur place; SGD 80 000 - 140 000; Plein temps

Résumé du poste

ACCENTURE PTE LTD in Singapore is seeking a Data Engineer to design and build scalable data pipelines and platforms using cloud technologies across financial services. You will own end-to-end data solutions from ingestion through analytics, collaborating with analysts, data scientists, and DBAs to ensure governed, high-quality data delivery.

The role emphasizes strong SQL, Python/Scala, and hands-on experience with Snowflake or Databricks; knowledge of Cloudera/Teradata, Spark, Kafka or Flink,

Qualifications

• Advanced proficiency in Snowflake or Databricks with production queries and data modeling.
• 5+ years in data engineering roles.
• Strong SQL skills and optimization.
• Python or Scala for transformations and automation.
• Banking or financial services data experience with regulatory awareness.

Responsabilités

• Design & build data pipelines - ETL/ELT, transformations, real-time streaming.
• Architect data platforms - schemas, performance, scalability.
• Implement data governance - access control, data quality, metadata tracking.
• Support banking/financial use cases - transactions, analytics, risk reporting.
• Optimize performance & costs - tune queries, cloud resource management.
• Collaborate with analysts, data scientists, DBAs, and architects.
• Document & share knowledge - runbooks, design docs, best-practice guides.

Connaissances

SQL

Python/Scala

Data Modeling

Snowflake

Databricks

Cloud platforms

Data governance

Kafka

Flink

Regulatory knowledge

Outils

Snowflake

Databricks

Cloudera

Teradata

Apache Spark

Kafka

Flink

AWS

Azure

GCP

Description du poste

ACCENTURE PTE LTD in Singapore is seeking a Data Engineer to design and build scalable data pipelines and platforms using cloud technologies across financial services. You will own end-to-end data solutions from ingestion through analytics, collaborating with analysts, data scientists, and DBAs to ensure governed, high-quality data delivery.

The role emphasizes strong SQL, Python/Scala, and hands-on experience with Snowflake or Databricks; knowledge of Cloudera/Teradata, Spark, Kafka or Flink,