Data Support Engineer ( Azure, Databricks )

Dear Candidate,

Greeting,

Experience : 8+ Years

Work Model : WFH

Work Timings : Starts from 3pm

We’re looking for a skilled Data Support Engineer with 8+ years of experience . The ideal candidate will serve as the escalation point for data ingestion, pipeline, and consumption issues while ensuring high system stability through proactive monitoring and root-cause analysis. You’ll support data quality checks, troubleshoot complex technical problems, and collaborate effectively with technical

Strong expertise in SQL, Python, ETL / ELT pipelines, and cloud technologies such as Azure, Databricks, PySpark, ADF, ADLS, Azure Workbooks, KQL, and Grafana is essential. Experience working with ticketing tools like ServiceNow or JIRA is required.

Job Description :

• Support escalation point for issues with data ingestion, consumption, pipelines.
• Monitoring : Proactively monitor data pipeline health to ensure stability and uptime.
• Root cause analysis : Perform root cause analysis on recurring issues to identify and document long-term fixes.
• Data quality : Support data quality checks, identify issues, and recommend corrective actions.
• Technical skills : Strong SQL and Python for troubleshooting, knowledge of data pipeline concepts (ETL / ELT), and experience with cloud platforms like Azure, Databricks, Pyspark, Azure Data Factory, ADLS, Azure workbooks, KQL, Grafana
• Problem-solving : Ability to troubleshoot complex technical problems and prioritize multiple support requests.
• Communication : Strong communication skills to interact with both business and technical teams
• Tools : Experience with ticketing systems (e.g., ServiceNow, JIRA