Dear Aspirants,
Greeting from Decimal Business Solutions
We are hiring for the position of Data Analyst
Job Title : Data Analyst
Location : Jln Tun Razak
Duration : 6 Months Contract & Extendable
Mode of Work : Hybrid
Job Description:
Responsibilities:
- Build and maintain scalable, efficient, and resilient data pipelines and ETL/ELT workflows using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
- Partner closely with the Technical Lead (client-facing) to translate client requirements into well-architected data solutions.
- Collaborate in solution design sessions, offering technical input to ensure alignment with client expectations and business goals.
- Implement and maintain data security, access control, and authentication standards in compliance with organizational and client policies.
- Create and maintain detailed technical documentation covering data architecture, workflows, and operational procedures.
- Define and uphold coding standards, data modeling best practices, and operational excellence in the data engineering lifecycle.
- Support version upgrades, testing, and validation of data tools and platforms, ensuring minimal disruption to business operations.
- Monitor and troubleshoot data pipelines and infrastructure for performance, reliability, and cost-efficiency.
- Investigate and resolve issues related to data quality, pipeline failures, latency, and system performance, especially within GCP environments.
- Identify opportunities to improve data workflow automation and implement enhancements to reduce manual overhead.
- Support the ongoing development and evolution of the enterprise data warehouse (BigQuery), ensuring scalability, integrity, and business value.
- Communicate technical challenges and proposed solutions clearly to both technical and non-technical stakeholders.
- Work with business units and technology partners to troubleshoot and reconcile data issues, ensuring accuracy and traceability.
- Actively contribute to a culture of continuous improvement in data operations and engineering processes.
Preferred Qualifications
- 1-3 years of experience in data engineering or a related field, with hands-on experience designing and deploying scalable data pipelines and ETL/ELT processes.
- Proven expertise in Google Cloud Platform (GCP) services, especially BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow).
- Strong programming skills in Python, SQL, and familiarity with data pipeline frameworks (e.g., Apache Beam, Airflow, dbt).
- Experience working with data warehouse architecture and dimensional data modeling in cloud-based environments.
- Solid understanding of data security, IAM, encryption, and compliance in a cloud environment.
- Familiarity with CI/CD practices, version control (e.g., Git), and infrastructure as code
- Ability to troubleshoot complex data issues, perform root cause analysis, and implement long-term solutions.
- Strong communication skills with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders.
- Demonstrated ability to work effectively in collaborative, cross-functional teams
