Senior Data Engineer – ETL, Cloud & GenAI

EXASOFT CONSULTING PTE. LTD.

🇸🇬 SingaporeYesterday

S$96,000 — S$1,20,000/year

≈ ₹60L — ₹75L per year

Workflow AutomationTerraformPL/SQLCollaborationBitbucketData ModelingAWSCost ManagementAmazon RedshiftDBTOracle 10gAnalyticsStructured data analysis

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Job Description

Responsibilities:

Data Pipeline Development: Design, build, and optimize ELT/ETL pipelines using Informatica IDMC/PowerCenter, DBT, and Kafka for structured and semi-structured data.
Cloud Migration & Modernization: Migrate on-prem data warehouses and ETL workloads to AWS services like Redshift, S3, Glue, and PostgreSQL.
Data Modeling & Quality: Create scalable data models, implement DBT tests, and enforce data quality, lineage, and governance standards.
Automation & DevOps: Automate infrastructure and deployments using Terraform, Git, CI/CD, and scripting in Python/Shell.
Performance Tuning: Optimize SQL, PL/SQL, and data workflows for performance, cost, and reliability.
Collaboration: Partner with business, analytics, and engineering teams to translate requirements into technical solutions and analytics-ready datasets.

Requirements:

5+ years of experience in Informatica PowerCenter/IDMC, DBT, and strong SQL/PL/SQL skills.
Hands-on experience in Oracle 10g–13c, PostgreSQL, Amazon Redshift, and MySQL.
Practical experience in AWS – S3, Redshift, Glue, and cloud migration projects.
Experience in Python, Shell scripting, and automation of data workflows.
Strong experience in data modeling, performance tuning, and data quality frameworks.
Experience in Git, BitBucket, Terraform, and CI/CD for data pipelines.