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Data Engineer - Informatica/IDMC (Engineering & Ops)
Data Engineer - Informatica/IDMC (Engineering & Ops)Synapxe • Queenstown, Otago, New Zealand
Data Engineer - Informatica / IDMC (Engineering & Ops)

Data Engineer - Informatica / IDMC (Engineering & Ops)

Synapxe • Queenstown, Otago, New Zealand
30+ days ago
Job description

Do you love Healthtech and Singapore put together? Then you just might love Synapxe.

Synapxe is a multiple award-winning Healthcare IT Leader that digitises, connects, and analyses Singapore's health ecosystem Its ultimate aim is to improve the Singapore population's health and health administrations by integrating intelligent, highly resilient, and cost-effective technologies with process and people.

An ETL Lead will oversee the migration specializing in Informatica PowerCenter to IDMC. This role involves leading the migration efforts, ensuring seamless transition, and leveraging the advanced features of IDMC. The ideal person will have extensive experience in data integration, migration projects and hands-on expertise with both CDI-PC and IDMC

Role & Responsibilities

Manage the end-to-end migration process from informatica PowerCenter (CDI PC) to Informatica IDMC, ensuring minimal disruption to business operations

Hands on experience in Informatica IDMC for creating mappings, workflows, setting up Secure Agents etc

Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance

Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality

Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows

Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance

Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC

Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC

Requirements

Degree in Computer Science, Information Technology, Computer Engineering or equivalent

Minimum 7 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and / or Informatica IDMC.

Understanding and hands on experience in all phases of project lifecycle & has implementation involvement in at least 2 project cycles

Experience in AWS Services focusing on ETL and data processing using ETL software : Informatica PowerCenter, IDMC, Informatica Cloud Data Integration for PowerCenter (CDI-PC), Informatica Data Engineering Integration (DEI)

Strong understanding of data integration concepts, ETL process and data quality management

Accomplished in designing and implementing ETL data mappings, transformations, and workflows

Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes

Strong in Business Intelligence data model design and proficient in BI software such as Oracle Analytics Server (OAS), Tableau

Strong knowledge of Oracle SQL and NoSQL databases, equipped with key SQL Skillsets on databases such as Oracle, Teradata and MS-SQL Server.

Working knowledge on BI standard languages such as Python, Java, VBA

Excellent problem-solving and analytical skills

Strong communication (with effective written and verbal communications skills) and collaboration skills

Effective written and verbal communication skills

Team player to ensure team meets delivery targets

AWS Associate / AWS Professional / AWS Specialty certification is preferred

Experience in healthcare industry, with broad understanding of healthcare business processes like patient administration, patient medical and non-medical services are a plus

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Data Engineer • Queenstown, Otago, New Zealand

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