Senior Data Engineer

Enable Data

Senior Data Engineer designing and maintaining scalable cloud data solutions. Collaborating on advanced analytics and data infrastructure at Enable Data Incorporated.

Posted 4/27/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAzureCloudETLNoSQLSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks.
Gather and analyze data requirements from business stakeholders and identify opportunities for data-driven insights.
Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks.
Ensure data quality, integrity, and security throughout all stages of the data lifecycle.
Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions.
Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features.
Provide technical guidance and expertise to junior data engineers and developers.
Stay up-to-date with emerging trends and technologies in cloud computing, big data, and data engineering.
Contribute to the continuous improvement of data engineering processes, tools, and best practices.

Requirements

What you’ll need

Bachelor's or Master's degree in computer science, engineering, or a related field.
10+ years of experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data solutions.
Strong experience with cloud platforms such as Azure
Proficiency in Apache Spark and Databricks for large-scale data processing and analytics.
Experience in designing and implementing data processing pipelines using Spark and Databricks.
Strong knowledge of SQL and experience with relational and NoSQL databases.
Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services.
Good understanding of data modeling and schema design principles.
Experience with data governance and compliance frameworks.
Excellent problem-solving and troubleshooting skills.
Strong communication and collaboration skills to work effectively in a cross-functional team.
Relevant certifications in cloud platforms, Spark, or Databricks are a plus.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Enable Data Website LinkedIn All Job Openings 51 - 200 employees ☁️ SaaS ⚕️ Healthcare Insurance 🏢 Enterprise SaaS
Healthcare Insurance
Enterprise Enable Data is a company that offers modern IT solutions to empower its customers by leveraging innovative data analytics and cloud platforms to drive increased value across their business ecosystem. They specialize in the implementation of large-scale SAS applications, distributed rules engines for processing health-related data, and managing data ingest frameworks. Enable Data serves industries requiring advanced data analytics and IT solutions, with a particular focus on healthcare quality and big data management. Senior Data Engineer Job not on LinkedIn 🔥 0 minutes ago 🇮🇳 India – Remote ⏰ Full Time 🟠 Senior 🚰 Data Engineer Airflow Apache Azure Cloud ETL NoSQL Spark SQL Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks.
Gather and analyze data requirements from business stakeholders and identify opportunities for data-driven insights.
Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks.
Ensure data quality, integrity, and security throughout all stages of the data lifecycle.
Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions.
Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features.
Provide technical guidance and expertise to junior data engineers and developers.
Stay up-to-date with emerging trends and technologies in cloud computing, big data, and data engineering.
Contribute to the continuous improvement of data engineering processes, tools, and best practices. 🎯 Requirements
Bachelor's or Master's degree in computer science, engineering, or a related field.
10+ years of experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data solutions.
Strong experience with cloud platforms such as Azure
Proficiency in Apache Spark and Databricks for large-scale data processing and analytics.
Experience in designing and implementing data processing pipelines using Spark and Databricks.
Strong knowledge of SQL and experience with relational and NoSQL databases.
Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services.
Good understanding of data modeling and schema design principles.
Experience with data governance and compliance frameworks.
Excellent problem-solving and troubleshooting skills.
Strong communication and collaboration skills to work effectively in a cross-functional team.
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Hard Skills & Tools

Apache SparkDatabricksSQLETLdata modelingdata integrationdata governanceNoSQLdata pipelinescloud-based data solutions

Soft Skills

problem-solvingtroubleshootingcommunicationcollaboration

Certifications

cloud platform certificationsSpark certificationsDatabricks certifications