Senior Data Engineer

Experience: 6+ Years

Location: WFH / Remote (India)

Open Positions: Multiple

Qualification: B.Tech / M.Tech / MCA or
equivalent

Work Timings: 1:30 PM IST – 10:30 PM IST

Functional Area: Data Engineering

About the Role

We
are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable, reliable, and
high-performance data platforms and pipelines that support business
intelligence, analytics, and data-driven decision-making.

The ideal candidate will have strong hands-on expertise in Python, Pyspark, Apache Airflow, Amazon Redshift, SQL, AWS Glue, and modern data engineering practices, along with mandatory experience in the Healthcare domain. The candidate should have experience building end-to-end ETL/ELT pipelines, processing large-scale datasets, implementing data quality frameworks, and supporting enterprise analytics and reporting needs.

This role
requires a technically robust professional who can collaborate with business
stakeholders, data analysts, architects, and application teams to deliver




robust and scalable data solutions.

Key Responsibilities
- Design, develop, and
maintain scalable data pipelines and ETL/ELT workflows for structured and
unstructured data.
- Build and optimize data ingestion, transformation, and data integration processes using Python, Pyspark and SQL.
- Develop, schedule, and
monitor workflows using Apache Airflow.
- Design and manage
enterprise data warehouse solutions using Amazon Redshift.
- Implement data models,
data marts, and reporting datasets to support analytics and business
intelligence requirements.
- Optimize data processing
jobs and database performance for scalability and efficiency.
- Work with large healthcare
datasets, ensuring data accuracy, consistency, and compliance with
industry standards.
- Collaborate with business
stakeholders to understand reporting and data requirements.
- Implement data quality
checks, validation frameworks, and monitoring processes.
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📌 Senior Data Engineer (India)
🏢 NextGen Invent
📍 India