DE&A - Core - Cloud Data Engineering - Databricks Professional

Mployee.me; Bengaluru; Vor Ort; INR 4.200.000 - 6.500.000; Vollzeit

Zusammenfassung

Mployee.me is seeking a hands-on Senior BI/Data Engineer to support end-to-end data and reporting services across the analytics landscape. The role focuses on Power BI dashboards, Azure Databricks data processing, and Azure SQL/Synapse data warehouses, with responsibilities spanning pipelines, transformations, and production support.

The ideal candidate will bring 8+ years of BI/Analytics experience, strong PySpark skills, and proven ability to troubleshoot data issues in enterprise

Qualifikationen

• 8+ years of BI, Data Engineering, or Analytics Platform Support.
• Minimum 5 years of hands-on experience supporting Azure Databricks environments.
• Strong PySpark development and troubleshooting experience.
• Experience supporting enterprise-wide analytics and reporting platforms.
• Strong SQL troubleshooting and data investigation skills.
• Experience supporting Power BI production environments.
• Experience working in a production support or IT operations environment.

Aufgaben

• Support end-to-end data and reporting services across the analytics landscape.
• Develop and maintain Power BI dashboards and Azure-based data pipelines.
• Manage Azure Databricks data processing and transformations.
• Support Azure SQL/Synapse data warehouses and related components.
• Troubleshoot data issues and dashboard refresh failures across production environments.

Kenntnisse

PySpark

SQL

Power BI

Azure Databricks

Analytics

Production Support

Data Engineering

Tools

Azure Data Factory

Azure Data Lake

Azure Synapse

Databricks

Jobbeschreibung

The role is responsible for supporting end-to-end data and reporting services across the
analytics landscape, including Power BI dashboards, Azure Databricks data processing
and transformation pipelines, Azure SQL/Synapse data warehouses, minor
enhancements and associated Azure data platform components.

Mandatory

• 8+ years of experience in BI, Data Engineering, or Analytics Platform Support.
• Minimum 5 years of hands-on experience supporting Azure Databricks environments.
• Strong PySpark development and troubleshooting experience.
• Experience supporting enterprise-wide analytics and reporting platforms.
• Strong SQL troubleshooting and data investigation skills.
• Experience supporting Power BI production environments.
• Experience working in a production support or IT operations environment.

Mandatory

• 8+ years of experience in BI, Data Engineering, or Analytics Platform Support.
• Minimum 5 years of hands-on experience supporting Azure Databricks environments.
• Strong PySpark development and troubleshooting experience.
• Experience supporting enterprise-wide analytics and reporting platforms.
• Strong SQL troubleshooting and data investigation skills.
• Experience supporting Power BI production environments.
• Experience working in a production support or IT operations environment.

We are looking for a hands-on site reliability engineer with strong expertise across the entire analytics value chain:

Source Systems Azure Data Factory Azure Data Lake Databricks (PySpark
Transformations) Azure SQL/Synapse Power BI Dashboards & MI Reporting

The ideal candidate should be equally comfortable investigating a failed dashboard refresh,troubleshooting a Databricks job, analysing SQL data discrepancies, or resolving an end-to-end data pipeline failure.