Data Support Engineer
3 weeks ago
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
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