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Data Engineer

APBA TG HUMAN RESOURCE PTE. LTD.Islandwide, SG

8 days ago

Job description

Roles & Responsibilities

Data Engineer

Role and 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 2 | P a g e 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.
Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
Stay up to date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications Requirements / Qualifications

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

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 4 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, C#, 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.

Interested candidates, please send your CVs on as@tg-hr.com

Regret to inform that only shortlisted candidates will be notified.

CEI : R1988671

EA License : 14C7275

Tell employers what skills you have

Scalability

Oracle

Azure

Pipelines

Informatica

Data Transformation

ETL

Data Integration

Data Quality

Data Governance

Data Engineering

SQL

Python

Metadata

Java

Databases

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Data Engineer • Islandwide, SG