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We fuel the ideas and ambitions of our people with an environment built on Our DNA of Love, Entrepreneurship, Agility, and Passion – LEAP!
We are a culture that empowers everyone to innovate and create solutions that will leave a positive impact on our communities and our nation, Touch n Go will always be here to inspire our talents to grow as leaders and innovators giving you the power to make a difference.
What would you do
Who should join us
Our Perks & Benefits:
We believe that you have what it takes to fit into the Touch n Go family and help revolutionize the Fintech industry by paving the way to a cashless society. If you're ready to take the next step, apply now!
Touch n Go is an organization that strives to provide Equal Opportunity Employment, based on merit, qualifications, capabilities, and calibre. It is Touch n Go's policy to not discriminate based on age, race, religion, colour or other personal status, identity or characteristics. Fair Opportunity is Our Value and Practice. Please advise us of any accommodations you may need by e-mailing: [Confidential Information]
Note: Only shortlisted candidates will be contacted.
Let's keep LEAP-ing forward together!
Job ID: 151349677
Skills:
Java, Spring Boot, Sql, Linux systems, command line operations, Big Data operations
Skills:
data engineering , Java, Database, Scala, Python, Sql, software engineering best practices, large-scale distributed systems, site-reliability engineering, object-oriented programming languages
Skills:
Unix, Data Manipulation Language, Tableau, Json, Python, AWS, Java, Power Bi, Csv, Scala, Apache Spark, Automation, Sql, Git, Linux, Xml, Databricks, Azure, Agent Orchestration, Data storage subsystems, MS Fabric, Normalized dimensional data modelling, Event-Driven Workflows, ETL workflows
Skills:
Devops, Pyspark, Apache Spark, Databricks, Python, Azure DevOps, Microsoft Azure Cloud
Skills:
Advanced Analytics, Machine Learning, Data Warehousing, Data Modeling, Google Cloud, ELT, Data Quality, Data Governance, Azure, AWS, Etl, data engineering best practices, cloud platforms, big data tools, data lakehouse