Senior Data Engineer

DETAILED LIST OF JOB DUTIES AND RESPONSIBILITIES

• Involve in Design and development of cloud-based data management systems.
• Proficiency and practical experience in Design and implementation of data pipelines in a decentralized data architectures like Data Mesh.
• Ensures established data security policies and standards are followed while designing data solution for cloud-based platforms.
• Collaborates with cross-functional teams to architect highly scalable, highly available, and highly performant cloud data solutions.
• Evaluates and recommends new cloud products and services for efficient data curation, storage and processing.
• Monitors the performance of cloud data solutions and strategizes optimization measures.
• Ensures compliance with data governance policies and best practices in the cloud.
• Implements data management and data governance processes for cloud data. Conducts thorough analysis and documentation of cloud data engineering strategies and designs.
• Establish regular overall system performance assessment processes and action plans.
• Expertise in Data Integration leveraging Informatica (IICS), Snowflake, SQL and Python code to solve complex use cases
• Provide direction for the design and development of the data layers including review of ETL requirements.
• Capable of leading team design sessions and facilitating decisions.
• Ensure timely delivery of solutions meeting requirements and expectations

Qualifications: Minimum experience/skills:

• 5+ years of experience in Cloud Data Architecture, data warehousing, data modeling, ETL, enterprise and business information system architectures, and system engineering
• Thorough knowledge and Implementation experience of data warehouse and Enterprise Data architecture principles, specifically Decentralized data architectures like Data Mesh.
• 3-5 years of experience developing Cloud-based (AWS) data solutions.
• 5+ years of Cloud database platform experience such as Snowflake.
• Experience in creating and maintaining end-to-end data pipelines.
• Strong communication skills comfortable explaining/proposing solutions to technical stakeholders, vendors, and business consumers.
• Proficiency with Unix, Linux, and shell scripting
• Experience working with a large, multi-terabyte enterprise data platform in Cloud.
• Clear understanding on system administration, database administration, storage architectures, backup & recovery, and networking.
• 3-5 years of experience in Informatica (IICS) ETL, Snowflake Data Warehousing and Airflow (Orchestration) experience.
• Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls.

Preferred experience/skills:

• Amazon Web Services (AWS) Certification or Cloud Data Engineer Certification
• Informatica (IICS) and Airflow (Orchestration) experience
• Snowflake certification
• Cognos and/or Tableau reporting experience