Data Engineer 1

Job Title: Data EngineerExperience: 5+ YearsEmployment Type: Full-Time

Role Summary

We are seeking an experienced Data Engineer with strong expertise in cloud data engineering, distributed processing, and modern data platforms to design, build, and maintain scalable data solutions. The ideal candidate will have hands-on experience with Snowflake, Python, SQL, Azure, Apache Spark, Databricks, Kubernetes, and Airflow, along with exposure to CI/CD practices and AI/ML model deployment workflows.

The candidate will play a key role in developing enterprise data pipelines, enabling analytics capabilities, optimizing data platforms, and supporting healthcare data initiatives with secure, reliable, and scalable solutions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data processing frameworks.

Build and optimize data solutions using Snowflake, Azure, Spark, and Databricks.

Develop robust ETL/ELT workflows to ingest, transform, and process large volumes of structured and unstructured data.

Write efficient and optimized SQL queries for data extraction, transformation, and analytics.

Develop Python-based data processing applications and automation scripts.

Work with Apache Spark for large-scale distributed data processing and performance optimization.

Design and manage data workflows using Apache Airflow.

Deploy and manage data applications using Kubernetes and cloud-native technologies.

Implement CI/CD pipelines using GitHub and related DevOps practices.

Collaborate with data analysts, data scientists, architects, and business teams to deliver analytics solutions.

Support AI/ML initiatives by enabling data pipelines and assisting with model deployment workflows.

Build and maintain data models, datasets, and analytical solutions to support business intelligence requirements.

Perform data quality checks, validation, monitoring, and troubleshooting of production data pipelines.

Optimize data platform performance, scalability, and reliability.

Implement security, governance, and compliance best practices for enterprise healthcare data.

Participate in architecture discussions, code reviews, and continuous improvement initiatives.

Required QualificationsEducation

Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or related field.

Experience

5+ years of experience in Data Engineering roles.

Strong experience building enterprise-scale data pipelines and analytics platforms.

Experience working with cloud-based data solutions and distributed processing environments.

Healthcare domain experience is preferred.

Required Technical SkillsData Engineering & Cloud Platforms

Snowflake

Microsoft Azure

Apache Spark

Databricks (Preferred)

Data Lake / Lakehouse architectures

ETL/ELT development

Data pipeline design and optimization

Programming & Databases

Strong programming experience with Python

Advanced SQL skills

Experience with data transformation, optimization, and performance tuning

Workflow Orchestration

Apache Airflow

Workflow scheduling and dependency management

Pipeline monitoring and troubleshooting

Containerization & DevOps

Kubernetes

Docker (Preferred)

GitHub

CI/CD pipeline development and automation

Version control best practices

AI/ML Engineering

Experience supporting AI/ML workflows

Understanding of model deployment processes

Experience integrating ML models into production data platforms is preferred

Data Analytics

Strong understanding of data analytics concepts

Ability to support reporting, visualization, and business intelligence requirements

Experience working with analytical datasets and data models

Preferred Skills

Experience working with healthcare data platforms, claims, clinical, member, or provider data.

Knowledge of healthcare data standards and compliance requirements.

Experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Storage, and Azure Synapse.

Experience implementing data governance, security, and data quality frameworks.

Familiarity with modern cloud-native architecture patterns.

Experience working in Agile/Scrum environments.

Key Competencies

Data Engineering & Architecture

Cloud Data Platforms

Data Pipeline Development

Distributed Computing

Data Analytics

Performance Optimization

Problem Solving

Automation & DevOps Practices

Data Quality Management

Collaboration & Communication

Healthcare Data Understanding

Why Join Us?

Work on enterprise-scale healthcare data engineering initiatives.

Build modern cloud-native data platforms using cutting-edge technologies.

Collaborate with engineering, analytics, and AI/ML teams.

Opportunity to contribute to scalable, secure, and impactful data solutions.

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

Apply for this position

Full Name *Email *Phone *Bio *Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docxBy using this form you agree with the storage and handling of your data by this website. *