Lead Data Engineer - Data Platform

Brighter futures start here

At Anko you’ll be joining a diverse team who come together to collaborate globally around tech. We are an innovation hub which power and support our retail brands. You’ll feel the impacts of the work you’ll do for our millions of customers and team members every day. Our brands are focused on being customer-led, digitally enabled retailers, providing you with challenging and rewarding work that you will be proud of.

Join our team, choose your own path and work on projects that excite you.

Technical skills:

• AWS – S3, IAM, API Gateway, EKS, EC2, EMR, Lambda, Cloud formation etc.,
• SQL – snowflake or other cloud data warehouse solutions, Oracle, MS SQL server
• Python, Java, Scala
• Kafka, Kafka streams, KSQL DB, Kafka connect preferably confluent kafka
• Docker, Kubernetes, Jenkins, Airflow
• Power BI

Work Experience:

7- 10 years to total IT experience preferably in field of data engineering

• 5+ years’ experience with AWS services including Lambda,IAM,API gateway
• 4+ years’ experience in creating and deploying dockor containers on Kubernetes
• 4+ years’ experience in supporting development teams on Kubernetes best practices, troubleshooting, and performance optimization.
• 4+ years’ experience with CI/CD pipelines toll such as Jenkins and Github Actions
• 4+ years’ experience with Snowflake data warehousing and data lake solutions
• Strong programming skill in Python, Java or Scala
• 4+ years of experience in scripting and automation using languages such as Bash, Python, or GO
• 4+ years of experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of Agile methodologies and software development lifecycle processes

A place you can belong

We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates.