Senior Data & Analytics Lead, Big Data & ETL

JEET ANALYTICS PTE. LTD.

Singapore

On-site

SGD 100,000 - 140,000

Full time

8 days ago
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Job summary

JEET ANALYTICS PTE. LTD.

in Singapore is seeking a data engineer to design, develop, and support enterprise-scale data engineering solutions focused on pipelines, ETL, big data platforms, data migration, and quality across banking and financial services environments. The role involves building scalable data pipelines, implementing data migration strategies, and collaborating with business, application, and infrastructure teams to deliver robust data solutions.

Qualifications

  • Degree in Computer Science, IT, Data Engineering or related discipline.
  • Strong experience in data engineering, ETL, data warehousing and Big Data tech.
  • Hands-on with Python, PySpark, SQL and Hive/HQL.
  • Experience with Hadoop, Spark and enterprise data platforms.

Responsibilities

  • Design, develop and optimize scalable data pipelines and ETL processes.
  • Develop data processing solutions using Python, PySpark, SQL and Hive.
  • Work with Hadoop HDFS, Hive and cloud/object storage environments.
  • Perform data extraction, transformation and loading from multiple source systems.
  • Design and implement data migration and modernization using DataStage, Talend, Informatica and Hadoop.
  • Develop and optimize batch processing and scheduling workflows (Autosys/Control-M).
  • Perform data profiling, quality checks and data modeling support for warehousing.

Skills

Python
PySpark
SQL
Hadoop
Data Warehousing
ETL
CI/CD

Education

Bachelor's degree in Computer Science/IT/Data Engineering

Tools

Talend
DataStage
Informatica
Teradata
Oracle

Job description

JEET ANALYTICS PTE. LTD.

in Singapore is seeking a data engineer to design, develop, and support enterprise-scale data engineering solutions focused on pipelines, ETL, big data platforms, data migration, and quality across banking and financial services environments. The role involves building scalable data pipelines, implementing data migration strategies, and collaborating with business, application, and infrastructure teams to deliver robust data solutions.

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