Associate Data Engineer
Date: 15 Dec 2023
Location: IN
Company: kmartaustr
Brighter futures start here
Anko is the global capability centre for Kmart Group Australia, fuelling growth aspirations of iconic Australian retail brands Kmart, Target and Anko. Based in Bangalore, India, we strive to accelerate retail innovation by building competitive capabilities in Technology, Data Sciences and Business Services that enable our brands to deliver delightful experiences to our in-store and online customers
Join our team, choose your own path and work on projects that excite you.
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The Data & Analytics team exists to drive competitive advantage through best-in-class data, analytics, and insights for the Kmart group. This team comprises of 75 members globally – bulk of them based out of India. The team in India was set up in July 2019 with 10 members and has grown considerably over the last 2 years. Our teams are embedded within each business function and work on strategic projects such as customer engagement, supply chain transformation, product quality etc across the Kmart group. We are paving the way to bringing in a data culture in the wider organization and we get to see this impact in the form of improved sales, cost savings and customer satisfaction. Everyday is a new learning. We use the latest cloud platform tools, data engineering practices and data science methods to achieve our goals.
What you’ll be doingÂ
Design, develop, and maintain robust, scalable, and sustainable data product and build & optimizing data pipeline and infrastructure. Excellent problem-solving and communication skills
Identify and implement data quality monitoring and validation processes to ensure data integrity.
Troubleshoot and debug data-related issues.
Develop and maintain documentation for data systems and processes
Technical Skills
Python, Java or Scala
SQL- Snowflake or other cloud data warehouse
AWS-s3,IAM,EC2,EKS,Lambda,Cloudformation
Basic of Docker, Kubernetes, Jenkin, and airflow
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Traits/ Abilites
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Troubleshoot and resolve data-related issues, performance bottlenecks, and scalability challenges.
Solid understanding of DevOps principles and experience with infrastructure automation using tools like Terraform or CloudFormation.
Excellent problem-solving, communication, and collaboration skills. Hands-on experience with cloud platforms, such as AWS or Azure, and related services (e.g., EC2, S3, Snowflake, Data Lake, etc.).
Understandings of data warehousing concepts and best practices Work closely with stakeholders to understand business requirements and translate them into data solution designs.
Strong understanding of data architecture principles, data modeling techniques, and data integration patterns.
Minimum 1 Year of experience in advanced SQL, ETL tools, Python coding
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.
Apply now » -
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