Sr Associate IS Architect, Finance Planning and Management Reporting

Senior Associate IS Architect, Finance Planning and Management Reporting

Let’sdo this.Let’schange the world. In this vital role you will:

• Design, develop, and maintain data solutions for data generation, collection, and processing

• Be a key team member that assists in design and development of the data pipeline

• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions

• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks

• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs

• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency

• Implement data security and privacy measures to protect sensitive data

• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

• Collaborate and communicate effectively with product teams

• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions

• Adhere to best practices for coding, testing, and designing reusable code/component

• Explore new tools and technologies that will help to improve ETL platform performance

• Participate in sprint planning meetings and provide estimations on technical implementation.

We are all different, yet we all use our unique contributions to serve patients. The tech professional weseekis a creative problem-solver and a team player with these qualifications:

• Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR

• Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR

• Diploma and 7 to 9 years of Computer Science, IT or related field experience

Functional Skills:

Must-Have Skills

• Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing

• Experience with data warehousing platforms such as Amazon Redshift, or Snowflake.

• Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases.

• Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets.

• Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops

Good-to-Have Skills:

• Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena)

• Experience with Anaplan platform, including building, managing, and optimizing models and workflows including scalable data integrations

• Understanding of machine learning pipelines and frameworks for ML/AI models

Professional Certifications:

• AWS Certified Data Engineer (preferred)

• Databricks Certified (preferred)

Soft Skills:

• Excellent critical-thinking and problem-solving skills

• Strong communication and collaboration skills

• Demonstrated awareness of how to function in a team setting

• Demonstrated presentation skills