Software Developer with DevOps and Data Engineering Expertise

Tech Aalto Pte ltd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Tech Aalto Pte ltd in Singapore seeks a Software Developer with DevOps and Data Engineering expertise for a contract role. You will join a cross-functional team to design, build, and optimize data platforms and deployment pipelines.

The ideal candidate has hands-on experience with Python, PySpark, SQL, Hive/Impala, Denodo, SAP BO, Tableau, Informatica, Linux, and cloud/on-prem environments, delivering scalable, secure solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Responsibilities

• Lead or contribute to projects using waterfall and Agile methodologies, ensuring 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 and integration with existing infrastructure.
• 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.
• Develop and optimize big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Maintain strong SQL skills to build queries, data modeling, and data analysis.
• Troubleshoot and resolve complex system issues across hybrid cloud environments.
• Design, develop, and implement data warehouse solutions and analytics platforms.

Skills

DevOps

Data engineering

Python

PySpark

SQL

Data modeling

Big data

Troubleshooting

Education

Bachelor's degree in Computer Science / IT

Tools

Hive

Impala

Cloudera Data Platform

Denodo

SAP BO

Tableau

Informatica

Linux

Job description

Software Developer with DevOps and Data Engineering Expertise

Job Description: Software Developer with DevOps and Data Engineering Expertise
Location:Singapore
Job Type:Contract
Job Overview:
We are seeking a skilled Data Engineer / DevOps Specialist to join our growing team. The ideal candidate will have experience working with big data engineering, DevOps deployment, data virtualization, and analytics tools. This role involves managing large-scale data platforms, optimizing data pipelines, and ensuring system reliability, security, and performance. The candidate should have experience working with data visualization tools and strong data modeling and SQL skills. You will collaborate with cross-functional teams to implement scalable and secure systems across cloud and on-premise environments.
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 usingHive, Impala, andCloudera Data Platformfor optimized big data solutions.
  • UtilizeDevOps deploymentpractices to automate processes, ensuring scalability, efficiency, and integration with existing infrastructure.
• Data Virtualization & Analytics:
  • Implement data virtualization tools likeDenodoto enhance data accessibility and performance across multiple systems.
  • Work with reporting and data visualization tools such asSAP BOandTableauto create dashboards and reports, ensuring data-driven decision-making across the organization.
• Big Data Engineering & ETL:
  • Develop and optimizebig data engineering jobsusingPython, Pyspark, Linux, and ETL tools likeInformaticato manage and transform large datasets.
  • Maintain strongSQLskills to build and optimize queries, perform data modeling, and ensure high-quality data analysis.
• System Troubleshooting & Optimization:
  • Troubleshoot and resolve complex system issues, including application stack traces and system resource bottlenecks.
  • Implement and optimizehigh availability, high performance, and high-security systemshosted in data centers or hybrid cloud environments.
• Data Warehouse & Analytics:
  • Play a key role in thedesign, development, and implementation of data warehouse solutionsand analytics platforms, ensuring alignment with business requirements.
  • Ensure best practices fordata modelingand data management are followed, and solutions are optimized for performance and scalability.

Required Skills and Experience:

• DevOps & Virtualization:Hands-on experience withDevOps deploymentanddata virtualization toolslike Denodo.
• Big Data & ETL:Strong experience in big data technologies, includingPython, Pyspark, Linux, and ETL tools likeInformatica.
• Analytics Tools:Understanding of reporting and visualization tools such asSAP BOandTableau.
• Data Platforms:Track record of working with systems usingHive, Impala, andCloudera Data Platform.
• Data Modeling & SQL:Strong skills inSQL,data modeling, anddata analysis.
• Troubleshooting:Ability to troubleshoot complex system and application issues.
• System Implementation:Experience in implementinghigh availability, high performance, and high-security systemsin 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 withhybrid cloud environmentsand large-scale data centers.
• Familiarity with Agile methodology and collaboration tools.