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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