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Infiniti Research
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Senior Data Engineer (Databricks & AWS)

Senior Data Engineer (Databricks & AWS)

Infiniti Research

4 - 8 years

25 - 27 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

pyspark aws data bricks sql pharma analytics healthcare analytics

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title

About the Role

Databricks

Key Responsibilities

Databricks ETL Development

Design, develop, and maintain scalable ETL pipelines in Databricks using PySpark and SQL.
Implement robust data ingestion, transformation, and validation processes to ensure high-quality datasets for analytics.
Optimize workflows for performance, scalability, and reliability across large healthcare datasets.

Data Product Build

Transform AWS assets (On EC2 and Redshift) to Databricks by recreating the running ETL jobs and orchestrating via Airflow/Databricks Workflow
Hands on working experience of catalog management using Unity Catalog
Conversant with AI capabilities within AWS and Databricks

Requirements

4 - 6 years of experience in Databricks data engineering roles.
Strong hands-on proficiency in Databricks (PySpark, SQL) and AWS cloud.
Proven track record in ETL pipeline development and understanding of BI dashboards.
Experience with US healthcare datasets.
Strong SQL skills for data extraction, aggregation, and reporting.
Excellent problem-solving abilities, with the capacity to work independently and in cross-functional teams.
Detail-oriented with a commitment to delivering high-quality, reliable data solutions.

Good to Have

Knowledge of IQVIA claims (standard, eLaaD, Remit, Rejection, NBRx, TRx, IGG4 Claims) and MMIT datasets to derive actionable insights.

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