Senior Data Engineer

Position Summary

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

Minimum Qualifications

8 Years overall IT experience with minimum 5 years of work experience in below tech skills

Tech Skill

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 with strong understanding of architecture

Experience in AWS Glue jobs

Experience in AWS cloud platform and its data services S3 Redshift Lambda EMR Airflow Postgres SNS Event bridge

Expertise in BASH Shell scripting

Strong understanding of healthcare data systems and experience leading data engineering teams

Experience in Agile environments

Excellent problem solving skills and attention to detail

Effective communication and collaboration skills

Responsibilities

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

Work 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