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Cloud Data Engineer

Exclusive opportunity

Onsite

Cloud Data Engineer

Epergne Solutions

Cloud Data Engineer

Skills

SQL QueriesData EngineeringDynamoDBPythonData ScienceAWS LambdaAmazon RedshiftDatabricksAWSPySpark

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

19 August 2026

What they need


Job Role:- Cloud Data Engineer

Job Location:- Singapore

Experience :- 4-5 Years

Position Summary:-

We are seeking a Cloud Data Engineer to design, develop, and maintain scalable data platforms and pipelines using AWS, Databricks, and Informatica IDMC . The role will focus on data integration, ETL/ELT, data quality, governance, security, performance, and automation.

Roles & Responsibilities:-

  • Design, develop, and maintain scalable data pipelines and cloud data platforms using AWS, Databricks, and Informatica IDMC.
  • Manage data storage and processing using Amazon S3, RDS, Redshift, DynamoDB, Delta Lake , and related services.
  • Develop and optimize ETL/ELT pipelines for data ingestion, transformation, cleansing, and enrichment.
  • Integrate data from multiple internal and external sources while ensuring data quality, consistency, and reliability .
  • Develop data processing solutions using Databricks and Apache Spark .
  • Use Informatica IDMC for data integration, data quality, metadata, and governance.
  • Monitor and optimize data pipeline, query, and processing performance for scalability and reliability.
  • Implement data security, access controls, encryption, and governance in cloud data environments.
  • Automate data workflows using AWS Lambda, Step Functions, Databricks Jobs , and Informatica IDMC.
  • Troubleshoot data pipeline and platform issues and implement corrective and preventive measures.
  • Maintain technical documentation, data workflows, and operational procedures.
  • Collaborate with data, technology, and business stakeholders to understand requirements and deliver data solutions.

Required Skills:-

  • AWS: S3, RDS, Redshift, DynamoDB, Lambda, Glue, Step Functions.
  • Databricks: Delta Lake, Spark, Databricks Jobs, data processing.
  • Informatica: IDMC, data integration, data quality, metadata/governance.
  • Strong knowledge of ETL/ELT, data pipelines, data lakes, and data warehouses .
  • Strong SQL and data transformation skills.
  • Experience with Python and/or PySpark .
  • Knowledge of cloud data security, governance, and data quality .
  • Experience with monitoring, troubleshooting, and performance optimization .
  • Understanding of CI/CD and automation for data engineering workflows.

Requirements / Qualifications:-

  • 4–5+ years of experience in data engineering, cloud data platforms, or related IT roles.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field , or equivalent practical experience.
  • Hands-on experience developing and maintaining cloud-based data pipelines .
  • Practical experience with AWS and Databricks .
  • Experience with Informatica IDMC or comparable enterprise data integration platforms.
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills.
  • Ability to work effectively with cross-functional teams in a diverse work environment.

Preferred:-

  • Experience with data governance, metadata management, and data quality frameworks .
  • Experience with AWS certifications, Databricks certifications, or Informatica certifications .
  • Experience in large-scale or enterprise data environments .

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