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