Data Ops Engineer

-Competitive salary and equity in an fast growing startup with global growth strategy

-Join a company with Global Growth across APAC, America and EMEA

-Flexible working options

Our client is a unique and rapidly growing cloud based mobile platform for managing complex construction activity in the field.

The Job

Maintain, optimize, and troubleshoot our existing AWS environment, which is fully defined and managed through CloudFormation scripts. You'll ensure high availability, performance, and cost-efficiency.

Be an iInfrastructure as Code (IaC) Champion. Author, update, and review CloudFormation templates for provisioning new resources and modifying existing ones, ensuring best practices and security standards are met.

Maintain and enhance the Data Pipeline. Develop, and maintain robust and efficient ETL pipelines to move and transform data from various sources into our data stores.

Identify and implement improvements to our data ingestion and processing workflows, focusing on performance, reliability, and scalability.

Work closely with our development and product teams to understand their infrastructure and data needs, providing expert guidance and implementing effective solutions.

Proactively monitor the health and performance of our AWS infrastructure and data pipelines, responding to incidents and resolving issues promptly

Ideal Candidate

You possess a Bachelor’s degree in Computer Science, Information Technology, or a similar field.

You are an AWS Certified DevOps Engineer—Professional.

You have proven experience with a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, SQS, SNS).

You have expert-level proficiency in authoring, deploying, and managing AWS infrastructure using CloudFormation.

You have strong Python programming skills that are essential for both infrastructure automation and data engineering tasks.

You have working knowledge of working with SQL and NoSQL databases

You demonstrated experience designing, building, and maintaining ETL processes, ideally with tools and frameworks relevant to AWS (e.g., AWS Glue, Lambda, Step Functions).

You have a strong analytical mindset with excellent troubleshooting and debugging skills.

You have the ability to clearly articulate technical concepts to both technical and non-technical stakeholders.

You are enthusiastic about collaborating with a cross-functional team in an agile environment.

It's preferable if you have:

AWS Certified Solutions Architect—Associate.

AWS Certified Data Engineer—Associate.

Experience with other IaC tools like Terraform

Knowledge of data warehousing concepts and technologies.

Experience with CI/CD pipelines for infrastructure deployments