Job Description

• Knowledge of all phases of software development including design, coding, testing, debugging, implementation, and support.
• Minimum 8+ years’ experience in field of data engineering involving analytics focused Datawarehouse environments like Datastage & Snowflake.
• Experience in AWS utilizing services such as S3, AWS CLI, and RDS is desired.
• Knowledge of RDBMS, SQL and ETL skills are must.
• Ability to thoroughly understand the business issues surrounding each project.
• Knowledge of standard change management tools and processes.
• Ability to work in a team environment.
• Experience with Bitbucket or Gitlab including deployment pipelines.
• Understanding of data transformations, cleansing, and deduplications.
• Experience developing pipelines for both Cloud and Hybrid Cloud infrastructures is desired.
• Intermediate knowledge of statistics, and skills with exploratory data analysis using Python or R is highly desirable.
• Experience with machine learning techniques (e.g., regression, decision trees, cluster analysis) using SAS or other statistical programming packages such as R, Python, Matlab is highly desirable.
• Experience working in an Agile delivery environment.
• Ability to work independently and drive solutions end to end leveraging various technologies to solve data problems and develop solutions.
• Perform unit tests and conduct reviews with other team members to ensure code is designed with high code coverage.
• Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open-source technologies and software paradigms.
• Ability to research and assess open-source technologies and components to recommend and integrate into the design and implementation.
• Proven track record of customer satisfaction and delivery success and ability to establish and maintain appropriate relationships with business and IT stakeholders.
• Ability to work in an advisory capacity to identify key technical business problems, develop and evaluate alternative solutions and make recommendations.