Azure Data Platform Support

Assist in maintaining and monitoring Azure-based data platforms.
Support Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake Storage (ADLS).
Help monitor platform performance, data pipeline execution, and system health.
Learn and follow security and governance standards for Azure resources.
Support troubleshooting of data platform issues and incidents.

Data Engineering & ETL Development

Assist in developing and maintaining ETL/ELT pipelines using Azure Data Factory and Databricks.
Write and optimize basic SQL queries and Python scripts for data processing.
Support data ingestion, transformation, and validation activities.
Help create datasets and data models for reporting and analytics.
Perform data quality checks and support issue resolution.
Document data flows, processes, and technical specifications.

Knowledge, Skills And Abilities

Education

Bachelor's degree in Computer Science, Information Technology, Computer Applications, Engineering, or a related field.





Experience

0-1 year of experience in Data Engineering, Data Analytics, Cloud Technologies, or Software Development.
Internship experience in Azure, Data Engineering, Data Analytics, or related technologies is preferred.

Knowledge and skills (general and technical) Technical Skills

Basic understanding of Azure cloud services.
Knowledge of SQL and relational databases.
Basic Python programming skills.
Understanding of data warehousing and ETL concepts.
Familiarity with Azure Data Factory, Databricks, or Azure SQL is a plus.
Understanding of Git version control.
Basic knowledge of Power BI or other reporting tools.
Familiarity with REST APIs is desirable.

Soft Skills

Strong analytical and problem-solving skills.
Good verbal and written communication skills.
Willingness to learn new technologies and business processes.
Ability to work effectively in a collaborative team workplace.
Attention to deta

📌 Associate (Pune)
🏢 MetLife
📍 Pune