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Open nowPosted 20 days ago

Data Engineer (Perm role with VB, Azure DevOps, Python, Databricks, up to $9k) #IJJ

MyCareersFuture94,028 open roles

Pay
SGD 8,000 – SGD 9,000 a month
Where
Central, Singapore
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Your applicationOpen nowData Engineer (Perm role with VB, Azure DevOps, Python, Databricks, up to $9k) #IJJMyCareersFuture · Central, Singapore

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  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 20 days ago

The posting

We are hiring and the details of the position are:

Job title: Data Engineer (Perm role with VB, Azure DevOps, Python, Databricks, up to $9k) Office Location: Raffles Place

Candidate will report to the Data and Analytics Lead

Job Responsibilities:

1. Data Management & Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.

• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.

• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.

• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.

• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.

• Ensuring compliance with security and governance best practices.

2. Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.

• Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.

• Optimising models and algorithms for data quality, security, governance, performance and scalability needs.

• Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.

• Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.

• Monitoring the platform for credit consumption and housekeeping.

• Supporting the deployment and maintenance of AI solutions in the data platform.

3. Collaboration

• Working with data lead and business users to manage data as a business asset.

• Guiding the business users to create and maintain reports and dashboards.

Job Requirements:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; Master’s degree preferred.

• At least 5-6 years of work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.

• At least four years of work experience in designing and implementing data architectures in Azure cloud services and Databricks.

• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.

• Experience with relational and non-relational databases including SQL and NoSQL is a must while familiarity with legacy databases such as Oracle is preferred.

• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.

• Experience with data catalogue tools including Unity Catalog and Microsoft Purview.

• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.

• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

• Align with and demonstrate core values, which are Integrity; Teamwork; Accountability; Agility; and Ambition.

Interested applicants please send your resume to [email protected]

Jane Ng Wei Ling

R1104585

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

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