[Hiring] Senior Data Engineer @Agama Solutions

Role Description

The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.

Qualifications

• 8+ Years overall IT experience
• Minimum 5 years of work experience in the following tech skills:
• Strong experience in Python scripting and PySpark for data processing
• Proficiency in SQL, dealing with big data over Informatica ETL
• Proven experience in data quality and data optimization of data lake in Iceberg format
• Strong understanding of architecture
• Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge)
• Expertise in BASH/Shell scripting
• Experience in Data Build Tool (DBT) or similar data transformation tools
• Experience in Mulesoft API
• Nice to have: Kafka, Tableau
• Strong understanding of healthcare data systems
• Experience leading data engineering teams
• Experience in Agile environments
• Excellent problem-solving skills and attention to detail
• Effective communication and collaboration skills

Requirements

• Leads development of data pipelines and architectures that handle large-scale data sets
• Designs, constructs, and tests data architecture aligned with business requirements
• Provides technical leadership for data projects, ensuring best practices and high-quality data solutions
• Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements
• Works with DBT (Data Build Tool) for transforming raw data into actionable insights
• Oversees development of data solutions that enable predictive and prescriptive analytics
• Ensures the technical quality of solutions, managing data as it moves across environments
• Aligns data architecture to Healthfirst solution architecture