Job Overview
We are seeking a Cloud Data Developer Responsibilities:
- Design and implement data pipelines to move and transform data from various sources into cloud-based data warehouses
- Develop and maintain ETL processes using tools such as dbt, Fivetran, Matillion, Snow Streams and tasks, SSIS, SSAS, SSRS, PL SQL and Snowflake Dataflow on AWS
- Good understanding of OLTP and OLAP Cubes, dimensional model
- Optimize data storage and retrieval by designing and implementing data partitioning, indexing, and compression strategies
- Build and maintain data processing infrastructure on cloud platforms such as AWS
- Good understanding of source control through Github and scheduling pipelines/tasks through Control M
- Collaborate with business and analysts to ensure data quality, accuracy, and availability for analysis and reporting
- Led Complex System Design, Integration and Development
- Monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance
- Implement security and access controls to protect sensitive data in cloud-based environments
- Automate data processing tasks using scripting languages such as Python or Bash
- Research and evaluate new technologies and tools to improve data processing efficiency and scalability
- Mentor and train junior data engineers and provide technical guidance to cross-functional teams
- Perform other job-related functions as assigned
- Work with cross development teams, Data Scientists, Database/ system administrators and Project Management Office as part of Data Engineering team and assist in research, development & implementation of special projects, as needed
- Support existing legacy and new data warehouses
- Preferably has good understanding of Revenue Management so that candidate can relate things back functionally
Requirements
- Bachelor’s degree in Computer Science, Engineering, or other related field of study, or any combination of relevant work experience and education
- 7+ years of experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions
- Experience in data engineering with a focus on data warehousing and data products
- Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell
- Experience with Agile methods & tools like JIRA. Experience leading and coaching a team members
- Proven experience in data warehousing technologies, data products, legacy system management, strong communication, and stakeholder engagement abilities
- Strong listening, presentation, and interpersonal skills
- Excellent analytical, problem-solving, verbal, and written communication skills
- Able to prioritize and execute tasks in a high-pressure, fast-paced environment
- Ability to drive results independently. Innovation, Process Improvement, Creativity, and Clean-Sheet Reinvention
- Proven success with collaboration between cross functional teams
- Demonstrated understanding of agile methodologies, QA practices and user experience, with strong digital & technical skills
- Experienced with collaboration tools (Jira, Confluence, Lucid Chart)
- Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, Snowflake
- Experience with traditional on-prem virtual and physical infrastructure, as well as cloud-based environments, preferably AWS
- Excellent understanding of Windows, and Linux based infrastructure
- Working knowledge of various tools, open-source technologies, and cloud services
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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Employer : Anticipate Fintech (HK) Ltd
