• US Citizen

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• EAD (OPT/CPT/GC/H4)

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• Corp-Corp

• W2-Permanent

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• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 27th Jun 2025

•             9+ Years overall IT experience with minimum 4 years of work experience in below tech skills

•             Tech Skills:

 Proficient in Python scripting and Spark 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 Event Bridge.

 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.

Responsibilities:

•             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.