Data Engineer
2 weeks ago
**Job Description: Data Engineer / DevOps Specialist**
**Position**:Data Engineer / DevOps Specialist
**Location**:Singapore
**Job Type**:Contract
**Job Overview**:
**Key Responsibilities**:
- **Project Implementation**:
- Lead or contribute to projects using both waterfall and Agile methodologies, ensuring successful delivery within scope, time, and budget.
- Implement systems using **Hive, Impala **, and **Cloudera Data Platform **for optimized big data solutions.
- Utilize **DevOps deployment **practices to automate processes, ensuring scalability, efficiency, and integration with existing infrastructure.
- **Data Virtualization & Analytics**:
- Implement data virtualization tools like **Denodo **to enhance data accessibility and performance across multiple systems.
- Work with reporting and data visualization tools such as **SAP BO **and **Tableau **to create dashboards and reports, ensuring data-driven decision-making across the organization.
- **Big Data Engineering & ETL**:
- Develop and optimize **big data engineering jobs **using **Python, Pyspark, Linux **, and ETL tools like **Informatica **to manage and transform large datasets.
- Maintain strong **SQL **skills to build and optimize queries, perform data modeling, and ensure high-quality data analysis.
- **System Troubleshooting & Optimization**:
- Implement and optimize **high availability, high performance, and high-security systems **hosted in data centers or hybrid cloud environments.
- **Data Warehouse & Analytics**:
- Play a key role in the **design, development, and implementation of data warehouse solutions **and analytics platforms, ensuring alignment with business requirements.
- Ensure best practices for **data modeling **and data management are followed, and solutions are optimized for performance and scalability.
**Required Skills and Experience**:
- **DevOps & Virtualization**:Hands-on experience with **DevOps deployment **and **data virtualization tools **like Denodo.
- **Big Data & ETL**:Strong experience in big data technologies, including **Python, Pyspark, Linux **, and ETL tools like **Informatica **.
- **Analytics Tools**:Understanding of reporting and visualization tools such as **SAP BO **and **Tableau **.
- **Data Platforms**:Track record of working with systems using **Hive, Impala **, and **Cloudera Data Platform **.
- **Data Modeling & SQL**:Strong skills in **SQL **, **data modeling **, and **data analysis **.
- **System Implementation**:Experience in implementing **high availability, high performance, and high-security systems **in hybrid environments.
**Education & Certification**:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Relevant certifications in DevOps, Big Data, or related fields would be an advantage.
**Preferred Skills**:
- Experience working with **hybrid cloud environments **and large-scale data centers.
- Familiarity with Agile methodology and collaboration tools.
This role is ideal for a proactive and detail-oriented individual with strong technical skills in data engineering, DevOps, and data analytics. If you're passionate about creating efficient, secure, and scalable data platforms, we encourage you to apply.
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