Area Manager-Data Engineering-Cloud Data Engineering
Hybrid Noida Full-time Manager Data Engineering
At a glance
Manager-level Data Engineering role at Fa Ewjt Saasfaprod1. Noida · full-time.
Pay not stated Data Engineering salary
RoleData Engineering
SeniorityManager
LocationNoida
WorkplaceHybrid
EmploymentFull-time
PostedNov 19, 2025
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and release Azure Databricks pipelines with PySpark and Spark SQL for structured and unstructured data
- Automate ETL and ELT runs by setting up workflows in Azure Data Factory and Databricks Workflows
- Move Databricks notebooks, scripts and settings through development, test and production using CI/CD pipelines
- Shape healthcare data models and BI architecture, then maintain the warehouses, marts and visual reporting
- Talk with stakeholders about business needs and turn the findings into data-backed insights
What you bring
- At least six years as a cloud data engineer, including a track record of delivering data pipelines
- At least three years working directly with Azure Databricks
- Strong skills with Azure Data Lake Storage Gen 2 and Azure Data Factory, plus Python and advanced SQL
- Knowledge of warehouse design, dimensional models and data architecture, with CI/CD and Git experience
- Project management and strategic problem-solving ability, alongside strong written, spoken and stakeholder communication
Who this fits
This role suits an experienced data engineer who can own hands-on Azure pipeline work and also support healthcare analytics through data models, BI and reporting. The position is based in Noida and follows a hybrid arrangement.
From the employer
Role Title: Azure Data Engineer
BU/Segment: Healthcare Analytics
Responsibilities
- Design, develop, test, and deploy robust and scalable data pipelines using Azure Databricks, PySpark, and Spark SQL for processing large volumes of structured and unstructured data.
- Implement workflow orchestration using Azure Data Factory and Databricks Workflows to automate ETL/ELT processes.
- Implement and maintain CI/CD pipelines for Databricks notebooks, scripts, and configurations using Azure DevOps or GitHub Actions, promoting code across dev, test, and prod environments.
- Develop and maintain healthcare data models, including data entities, relationships, and data flows, to support healthcare analytics and decision-making.
- Design and implement enterprise-wide BI architectures. Develop and maintain data warehouses and data marts.
- Develop and maintain reports, dashboards, and data visualizations. Collaborate with stakeholders to understand business needs and provide data-driven insights
Person attributes
- 6+ years of experience as a Data Engineer with a proven track record of building data pipelines in the cloud.
- 3+ years of hands-on experience with Azure Databricks
- Strong experience with core Azure data services – Azure Data Lake Storage (Gen 2), Azure data factory.
- Proficiency in Python and expert-level skills in SQL
- Solid understanding of data warehousing concepts, dimensional modeling (star/snowflake schemas), and data architecture principles
- Experience with CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) and version control systems (Git).
- Demonstrated experience and knowledge of strategic problem solving and frameworks, and project management skills
- Excellent written and verbal communication with the ability to establish credibility and strong relationships with stakeholders
Role Title: Azure Data Engineer
BU/Segment: Healthcare Analytics
Responsibilities
- Design, develop, test, and deploy robust and scalable data pipelines using Azure Databricks, PySpark, and Spark SQL for processing large volumes of structured and unstructured data.
- Implement workflow orchestration using Azure Data Factory and Databricks Workflows to automate ETL/ELT processes.
- Implement and maintain CI/CD pipelines for Databricks notebooks, scripts, and configurations using Azure DevOps or GitHub Actions, promoting code across dev, test, and prod environments.
- Develop and maintain healthcare data models, including data entities, relationships, and data flows, to support healthcare analytics and decision-making.
- Design and implement enterprise-wide BI architectures. Develop and maintain data warehouses and data marts.
- Develop and maintain reports, dashboards, and data visualizations. Collaborate with stakeholders to understand business needs and provide data-driven insights
Person attributes
- 6+ years of experience as a Data Engineer with a proven track record of building data pipelines in the cloud.
- 3+ years of hands-on experience with Azure Databricks
- Strong experience with core Azure data services – Azure Data Lake Storage (Gen 2), Azure data factory.
- Proficiency in Python and expert-level skills in SQL
- Solid understanding of data warehousing concepts, dimensional modeling (star/snowflake schemas), and data architecture principles
- Experience with CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) and version control systems (Git).
- Demonstrated experience and knowledge of strategic problem solving and frameworks, and project management skills
- Excellent written and verbal communication with the ability to establish credibility and strong relationships with stakeholders
Role Title: Azure Data Engineer
BU/Segment: Healthcare Analytics
Responsibilities
- Design, develop, test, and deploy robust and scalable data pipelines using Azure Databricks, PySpark, and Spark SQL for processing large volumes of structured and unstructured data.
- Implement workflow orchestration using Azure Data Factory and Databricks Workflows to automate ETL/ELT processes.
- Implement and maintain CI/CD pipelines for Databricks notebooks, scripts, and configurations using Azure DevOps or GitHub Actions, promoting code across dev, test, and prod environments.
- Develop and maintain healthcare data models, including data entities, relationships, and data flows, to support healthcare analytics and decision-making.
- Design and implement enterprise-wide BI architectures. Develop and maintain data warehouses and data marts.
- Develop and maintain reports, dashboards, and data visualizations. Collaborate with stakeholders to understand business needs and provide data-driven insights
Person attributes
- 6+ years of experience as a Data Engineer with a proven track record of building data pipelines in the cloud.
- 3+ years of hands-on experience with Azure Databricks
- Strong experience with core Azure data services – Azure Data Lake Storage (Gen 2), Azure data factory.
- Proficiency in Python and expert-level skills in SQL
- Solid understanding of data warehousing concepts, dimensional modeling (star/snowflake schemas), and data architecture principles
- Experience with CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) and version control systems (Git).
- Demonstrated experience and knowledge of strategic problem solving and frameworks, and project management skills
- Excellent written and verbal communication with the ability to establish credibility and strong relationships with stakeholders
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.