DE&A - Core - Cloud Data Engineering - Databricks
At a glance
Mid-level Data Engineering role at Fa Etvl Saasfaprod1. Bengaluru South.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Keep analytics and reporting services running across Power BI, Databricks, Azure SQL/Synapse and related Azure components
- Investigate failed dashboard refreshes, Databricks jobs, SQL data discrepancies and full pipeline failures
- Support Azure Databricks processing and transformation pipelines, including minor platform enhancements
- Maintain production analytics and reporting environments across the data flow from source systems to dashboards
What you bring
- At least eight years in BI, data engineering or analytics platform support
- At least five years providing hands-on support for Azure Databricks environments
- Strong PySpark development and troubleshooting, plus SQL investigation skills
- Experience with enterprise analytics platforms, Power BI production support and production operations
Who this fits
This hands-on reliability role suits someone comfortable troubleshooting problems across the analytics value chain, from data pipelines through reporting. The role is based in Bengaluru South, India.
From the employer
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.
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.
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.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.