Job responsibilities
- Solves the companies most challenging cloud problems by building cloud data solutions
- Develops first class automation operating models to ensure stability, sustainability, and velocity during development
- Implements acceptance test to ensure the product meets the business goals and specifications
- Creates efficient integration between on-premises enterprise systems and cloud data provider services
- Work with customers to provide in-depth technology solution to their business problems
- Executes standard software solutions, design, development, and technical troubleshooting
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Demonstrable ability to code in one or more languages; Java, Python, or Go
- Experience in designing, developing, and maintaining production-grade cloud solutions in Cloud ecosystems such as Amazon Web Services, Microsoft Azure or Google Cloud out
- Building Data Lake using AWS, and Hand-on experience in AWS Glue, AWS KMS. AWS Firehose, EMR, Athena, Redshift, Quick Sight and Lake Formation
- Knowledge in federated query engine such as Starburst and Trino
- Knowledge in Snowflake Database Architecture and Administration
- Experience in ETL pipelines using SnowSQL and Snowpipe
- Experience or knowledge in Spark leveraging Python or Scala with Snowflake
- Experience in Hashicorp Terraform
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Exposure to RESTful API development
- Experience or knowledge in Kubernetes
- Hand-on technical experience with:Web Scalability - High availability architecture - load balancing, scale out
- Knowledge working with PCI and sensitive data workloads
- Experience across the whole Software Development Life Cycle