Job Description

This position is posted by Jobgether on behalf of Enable Data Incorporated. We are currently looking for an Azure Data Engineer II in India.

This role offers the opportunity to design, build, and maintain advanced data solutions on the Microsoft Azure platform, contributing to impactful projects across diverse industries. You will collaborate with cross-functional teams to translate data requirements into scalable pipelines, robust storage systems, and efficient integration processes. The position involves working with cutting-edge Azure services and tools, ensuring data integrity, governance, and availability. This is an ideal role for a skilled professional who thrives in a fast-paced environment and is eager to apply deep data engineering expertise to deliver measurable business value.

Accountabilities

• Design, develop, and implement scalable, reliable data solutions using Microsoft Azure technologies.
• Collaborate with multiple teams to gather, analyze, and refine data requirements.
• Build and maintain data ingestion pipelines from diverse sources while ensuring integrity and reliability.
• Perform data integration, transformation, and quality checks to maintain consistency and accuracy.
• Implement secure data storage and retrieval mechanisms with services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Monitor, troubleshoot, and optimize data pipelines for smooth operations.
• Apply data governance best practices to ensure compliance, privacy, and accuracy.
• Support analysts and data scientists with high-quality datasets for data-driven insights.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.
• 5+ years of experience with Big Data technologies.
• Proven expertise in Microsoft Azure cloud platform and its data services.
• Strong SQL skills with experience in SQL-based database systems.
• Experience in both batch and streaming data processing.
• Hands-on proficiency in frameworks and services such as Apache Spark, Hadoop, Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, and CosmosDB.
• Real-world experience with Azure Databricks and ETL processes.
• Strong analytical and problem-solving skills with a solid grasp of data engineering principles.
• Proficiency in Python or Scala programming.
• Azure-related certifications are an advantage.

Benefits

• Work on impactful projects leveraging the latest Azure technologies.
• Opportunity to collaborate with experts across multiple disciplines.
• Professional growth in a dynamic, innovation-driven environment.
• Competitive salary package.
• Flexible work arrangements.
• Access to training and certification opportunities.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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