Data Engineer Trainee

Multiverse Solutions; India; On-site; INR 300,000 - 550,000; Full time

Job summary

Multiverse Solutions is seeking enthusiastic Data Engineer Trainees to build a career in cloud data engineering. You will gain hands-on exposure to Microsoft Azure, Microsoft Fabric, SQL, Python, Spark, and Databricks while contributing to data ingestion, transformation, processing, and analytics solutions.

As a trainee, you will work on developing and maintaining data pipelines, learning data lakehouse architectures, and collaborating with cross-functional teams to deliver reliable data

Qualifications

• Strong knowledge of SQL.
• Proficient in Python.
• Understanding of ETL/ELT concepts.
• Familiar with Azure cloud services.
• Experience with Azure Data Factory.
• Knowledge of Azure Data Lake Storage.
• Knowledge of Microsoft Fabric.
• Experience with Apache Spark / PySpark.
• Familiar with Databricks.
• Solid understanding of relational databases and data warehousing.

Responsibilities

• Develop and maintain data pipelines for batch and incremental data processing.
• Work with structured and unstructured data.
• Perform data extraction, transformation, and loading (ETL/ELT).
• Work with Azure data services and Microsoft Fabric.
• Develop data transformations using Python and PySpark.
• Write SQL queries for data extraction and transformation.
• Work with data lakes, data warehouses, and lakehouse architectures.
• Assist in implementing Bronze, Silver, and Gold data layers.
• Perform data validation, troubleshooting, and basic performance optimization.
• Collaborate with Data Engineers, BI Developers, and other technical teams.

Skills

SQL

Python

ETL/ELT concepts

Relational databases

Education

B.Tech/B.E./BCA/MCA or related degree

Tools

Azure Data Factory

Azure Data Lake Storage

Microsoft Fabric

Apache Spark

PySpark

Databricks

Azure cloud services

Fabric Data Factory / Data Pipelines

Fabric Lakehouse and Warehouse

Job description

Job Summary

We are looking for enthusiastic Data Engineer Trainees who want to build their career in cloud data engineering. The candidate will receive hands‑on exposure to Microsoft Azure, Microsoft Fabric, SQL, Python, Spark, and Databricks and will work on data ingestion, transformation, processing, and analytics solutions.

Key Responsibilities

• Develop and maintain data pipelines for batch and incremental data processing.
• Work with structured and unstructured data.
• Perform data extraction, transformation, and loading (ETL/ELT).
• Work with Azure data services and Microsoft Fabric.
• Develop data transformations using Python and PySpark.
• Write SQL queries for data extraction and transformation.
• Work with data lakes, data warehouses, and lakehouse architectures.
• Assist in implementing Bronze, Silver, and Gold data layers.
• Perform data validation, troubleshooting, and basic performance optimization.
• Collaborate with Data Engineers, BI Developers, and other technical teams.

Required Skills

• Good knowledge of SQL.
• Good understanding of Python.
• Basic understanding of ETL/ELT concepts.
• Basic understanding of Azure cloud services.
• Familiarity with Azure Data Factory (ADF).
• Basic knowledge of Azure Data Lake Storage (ADLS).
• Basic understanding of Microsoft Fabric.
• Basic knowledge of Apache Spark / PySpark.
• Basic understanding of Databricks.
• Good understanding of relational databases and data warehousing concepts.

Good to Have

• Knowledge of Fabric Data Factory / Data Pipelines.
• Knowledge of Fabric Lakehouse and Warehouse.
• Knowledge of Delta Lake.
• Basic knowledge of Azure Synapse.
• Familiarity with Git and Azure DevOps.
• Understanding of dimensional modelling and medallion architecture.

Preferred Qualifications

• B.Tech/B.E./BCA/MCA or related degree.
• Computer Science, IT, Data Engineering, Data Science, or related background preferred.
• Candidates with academic projects in Python, SQL, Azure, Spark, or Databricks will be preferred.