Azure Data Engineer, Databricks Certified

Enable Data

Azure Data Engineer designing, building, and maintaining data solutions on Microsoft Azure platform. Collaborating with teams to analyze requirements and ensure data quality with ingestion pipelines.

Posted 7/16/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data solutions on the Microsoft Azure platform, with a strong focus on data ingestion, integration, and quality assurance. Proficient in utilizing Azure data services and frameworks to support data-driven insights and ensure data integrity.

Highest-signal resume keywords

Microsoft Azure Cloud PlatformSQL ProficiencyData Processing Frameworks (Apache Spark, Apache Hadoop)Data Integration and ETL ProcessesAzure Data Services (Azure SQL Database, Azure Data Lake, Azure Blob Storage)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Ingestion PipelinesData IntegrationData TransformationData Quality MeasuresData Governance PracticesBatch and Data StreamingProgramming Languages (Python, Scala)Azure DatabricksAzure SynapseSnowflake

Soft Skills

Analytical SkillsProblem-Solving Skills

Tools & Technologies

Azure Data FactoryAzure SQL DatabaseAzure Data LakeAzure Blob StorageCosmosDB

Certifications & Qualifications

Azure Data Services CertificationData Engineering Certification

Industry Keywords

Big Data TechnologiesData Engineering PrinciplesData QualityData PrivacyData-Driven Insights

Tech Stack

Tools & technologies

ApacheAzureCloudETLHadoopPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, develop, and implement scalable and reliable data solutions on the Microsoft Azure platform.
Collaborate with cross-functional teams to gather and analyze data requirements.
Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability.
Perform data integration and transformation activities, ensuring data quality and consistency.
Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability.
Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy.
Collaborate with data scientists and analysts to support their data needs and enable data-driven insights.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of experience with Big Data technologies
Strong knowledge and experience with Microsoft Azure cloud platform
Proficiency in SQL and experience with SQL-based database systems.
Experience with batch and data streaming.
Proficiency in data processing frameworks such as Apache Spark, Apache Hadoop, or cloud-native data processing services (Azure Data Lake, Azure Data factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB)
Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Experience using Azure Databricks in real-world scenarios.
Experience with data integration and ETL (Extract, Transform, Load) processes.
Strong analytical and problem-solving skills.
Good understanding of data engineering principles and best practices.
Experience with programming languages such as Python or Scala.
Relevant certifications in Azure data services or data engineering 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. Azure Data Engineer, Databricks Certified Job not on LinkedIn 🔥 9 minutes ago 🇮🇳 India – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior ☁️ Cloud Engineer Apache Azure Cloud ETL Hadoop Python Scala Spark SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, develop, and implement scalable and reliable data solutions on the Microsoft Azure platform.
Collaborate with cross-functional teams to gather and analyze data requirements.
Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability.
Perform data integration and transformation activities, ensuring data quality and consistency.
Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability.
Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy.
Collaborate with data scientists and analysts to support their data needs and enable data-driven insights. 🎯 Requirements
Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of experience with Big Data technologies
Strong knowledge and experience with Microsoft Azure cloud platform
Proficiency in SQL and experience with SQL-based database systems.
Experience with batch and data streaming.
Proficiency in data processing frameworks such as Apache Spark, Apache Hadoop, or cloud-native data processing services (Azure Data Lake, Azure Data factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB)
Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Experience using Azure Databricks in real-world scenarios.
Experience with data integration and ETL (Extract, Transform, Load) processes.
Strong analytical and problem-solving skills.
Good understanding of data engineering principles and best practices.
Experience with programming languages such as Python or Scala.
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