Description

Key Responsibilities
Design, build, and maintain data pipelines using Azure services
Develop and optimize solutions using Azure Synapse Analytics (pipelines, Spark, SQL pools)
Implement ETL/ELT processes for ingesting and transforming data from multiple sources
Design and manage data models to support reporting and analytics
Work with structured and unstructured datasets in a data lake environment
Ensure data quality, integrity, and consistency across pipelines
Optimize performance of queries, pipelines, and storage
Collaborate with data analysts, data scientists, and business stakeholders
Support deployment, testing, and monitoring of data solutions
Maintain documentation for data processes and architectures

Responsibilities

Required Skills & Experience
Solid hands-on experience with Microsoft Azure data services
Proven experience with Azure Synapse Analytics (pipelines, Spark, SQL)
Proficiency in SQL and Python




Experience with data warehousing concepts and dimensional modeling
Experience with ETL/ELT design and implementation
Familiarity with Azure Data Lake Storage (ADLS)
Understanding of distributed data processing (e.g., Spark)
Experience with version control and CI/CD practices (Azure DevOps preferred)

Soft Skills
Robust analytical and problem-solving abilities
Valuable communication and stakeholder interaction skills
Ability to work independently and within a team
Attention to detail and focus on quality

Qualifications

Preferred Qualifications
6+ years of experience in Data Engineering.
Experience with Delta Lake or similar technologies
Exposure to Azure Data Factory
Knowledge of performance tuning and query optimization
Understanding of data governance and security best practices in Azure

📌 Azure Data Engineer Pune (India)
🏢 EXL
📍 India