Data Support Engineer ( Azure, Databricks )

Dear Candidate,Greeting,Experience : 8+ YearsWork Model : WFHWork Timings : Starts from 3pmWe’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 technicalStrong 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, GrafanaProblem-solving : Ability to troubleshoot complex technical problems and prioritize multiple support requests.Communication : Strong communication skills to interact with both business and technical teamsTools : Experience with ticketing systems (e.g., ServiceNow, JIRA