Data Engineer

7 days ago


Singapore HELIUS TECHNOLOGIES PTE. LTD. Full time

Roles & Responsibilities Architect & Design Data Solutions: Design and architect scalable data storage solutions including databases, data lakes, and data warehouses using AWS services (Amazon S3, RDS, Redshift, DynamoDB) and Databricks Delta Lake . Integrate Informatica IDMC for metadata management and data cataloging. Data Pipeline Development: Create, manage, and optimize robust data pipelines for ingestion, processing, and transformation using AWS Glue , AWS Data Pipeline , AWS Lambda , and Databricks . Leverage Informatica IDMC for integration, data quality, and governance. Data Integration & Quality: Integrate structured and unstructured data from various internal and external sources into AWS and Databricks environments. Ensure data consistency, integrity, and compliance through Informatica IDMC . ETL & Data Transformation: Develop and maintain ETL workflows to cleanse, transform, and enrich data for analytics and reporting purposes using Databricks Spark and Informatica IDMC . Performance Optimization: Monitor, analyze, and optimize data processing and query performance across AWS and Databricks platforms. Implement best practices for scalability and performance tuning. Utilize Informatica IDMC for workflow optimization. Technical Evaluation & Recommendations: Evaluate potential technical solutions, troubleshoot performance issues, and recommend improvements for complex data transformations and long‐running data processes. Requirements / Qualifications Minimum 5 years of hands‐on experience in Data Engineering , with deep expertise in AWS , Databricks , and Informatica IDMC . Strong programming skills in Python , Java , or Scala for data pipeline development. Proficiency in SQL and NoSQL database systems. Solid understanding of data modeling , ETL processes , and data governance frameworks . Experience with metadata management , data cataloging , and data quality tools. AWS , Databricks , or Informatica IDMC certifications are highly preferred. Excellent problem‐solving skills and ability to work in a fast‐paced, collaborative environment. #J-18808-Ljbffr



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