Required Skills: Redshift, Lambda, EMR, Airflow, Postgres, SNS, and EventBridge. Skilled in BASH/Shell scripting.

Job Description

• 9+ Years overall IT experience with minimum 4 years of work experience in below tech skills
• Tech Skills:
• Proficient in Python scripting and PySpark for data processing tasks.
• Strong SQL capabilities, with hands-on experience managing big data using ETL tools like Informatica.
• Experience with the AWS cloud platform and its data services, including S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, and EventBridge.
• Skilled in BASH/Shell scripting.
• Understanding of data lakehouse architecture, particularly with Iceberg format, is a plus.
• Preferred: Experience with Kafka and Mulesoft API.
• Understanding of healthcare data systems is a plus.
• Experience in Agile methodologies.
• Strong analytical and problem-solving skills.
• Effective communication and teamwork abilities.

• Develop and maintain data pipelines and ETL processes to manage large-scale datasets.
• Collaborate to design & test data architectures to align with business needs.
• Implement and optimize data models for efficient querying and reporting.
• Assist in the development and maintenance of data quality checks and monitoring processes.
• Support the creation of data solutions that enable analytical capabilities.
• Contribute to aligning data architecture with overall organizational solutions.