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Full Time AWS Data Architect Jobs, in Nityo Infotech - Maukerja

AWS Data Architect

Nityo Infotech

Undisclosed

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

WE’RE HIRING | AWS Data Architect / Data Engineer | Singapore

Are you an experienced AWS Data Architect / Data Engineer with strong expertise in building modern Data Lake, Lakehouse and cloud data platforms?

We are looking for 3 AWS Data professionals to join the Centre of Excellence Team at SportSG and contribute to a next-generation, cloud-native data platform supporting analytics, reporting and AI/ML initiatives.

Location: SportSG, 3 Stadium Drive, Singapore

Working Hours: 8:30 AM – 6:00 PM

Start Date: ASAP

Engagement: 6 + 6 Months

Eligibility: Singapore Citizen / Singapore PR only

OPEN POSITIONS

1️⃣ Senior AWS Data Architect – 1 Position

Up to SGD 9,000/month (All-Inclusive)

Experience: 7+ years

2️⃣ Junior AWS Data Architect – 2 Positions

Up to SGD 7,200/month (All-Inclusive)

Experience: 4+ years

Budget is inclusive of annual & medical leave, medical insurance, phone allowance, CPF, transport allowance and 1 month AWS/Bonus.

️ WHAT YOU’LL DO

As an AWS Data Architect / Engineer, you will help design, build and maintain SportSG’s centralised AWS Data Lake and Lakehouse platform.

Design end-to-end AWS Data Lake / Lakehouse architecture

Define data architecture standards, patterns and best practices

Build reusable data ingestion pipelines from REST APIs, JDBC databases, S3 and SaaS platforms

Develop pipelines using AWS Glue, Lambda, Step Functions, EventBridge and API Gateway

Build batch and streaming data processing workflows

Work with Amazon Redshift for transformation and analytics workloads

Manage AWS Glue Data Catalogue, metadata and schema evolution

Implement security and governance using AWS Lake Formation, IAM and Secrets Manager

Configure granular database, table and column-level access controls

Monitor pipeline reliability, data quality and platform performance

Troubleshoot data pipeline and data quality issues

Optimise AWS platform performance and cloud costs

Maintain architecture documentation and operational runbooks

️ MUST-HAVE TECHNICAL SKILLS

AWS Data Lake / Lakehouse Architecture

Amazon S3

AWS Glue

Amazon Redshift

AWS Lambda

Amazon Kinesis

AWS Step Functions

Amazon EventBridge

AWS AppFlow

AWS Lake Formation

IAM & Secrets Manager

SQL

Python or Scala

Data Governance & Metadata Management

Batch & Streaming Data Processing

GOOD TO HAVE

Tableau / BI integration with Redshift or S3

AWS SageMaker / MLOps

Salesforce integration using AWS AppFlow

Change Data Capture (CDC)

Incremental data loading

Government / Public Sector project experience

CERTIFICATION

AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect certification is highly desirable.

WHY JOIN?

You’ll be part of a strategic SportSG data platform programme, helping build a unified cloud data ecosystem that supports data analytics, reporting, AI/ML and data-driven decision-making across Singapore’s sporting ecosystem.

Interested candidates: please send your updated CV to: *************

WhatsApp: +************* 2521

Please share your updated CV with:

• Current Location

• Total IT Experience

• Total AWS/Data Engineering Experience

• AWS Data Lake/Lakehouse Experience

• Key AWS Services

• Citizenship / PR Status

• Notice Period

• Current & Expected Salary

Interested candidates: please send your updated CV to: *************

WhatsApp: +************* 2521

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