Databricks (Pune)

DatabricksJob Description: Role Purpose: - Key skills - Azure Data Factory (primary), Azure Data bricks Spark (PySpark, SQL Experience - 7 to 10 Years Must-have skills - Cloud certified in one of these categories - Azure Data Engineer - Azure Data Factory, Azure Data bricks Spark (PySpark or scala), SQL, DATA Ingestion, Curation - Semantic Modelling/ Optimization of data model to work within Rahona - Experience in Azure ingestion from on-prem source, e.g. mainframe, SQL server, Oracle. - Experience in Sqoop / Hadoop - Microsoft Excel (for metadata files with requirements for ingestion) - Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud - Strong Programming skills with at least one of Python, Scala or Java - Robust SQL skills ( T-SQL or PL-SQL) - Data files movement via mailbox - Source-code versioning/promotion tools, e.g. Git/Jenkins - Orchestration tools, e.g. Autosys, Oozie - Source-code versioning with Git. Nice-to-have skills - Experience working with mainframe files - Experience in Agile environment, JIRA/Confluence tools. - Chennai, Coimbatore, Bangalore, Pune Databricks: Do: - Oversee and support process by reviewing daily transactions on performance parameters - Review performance dashboard and the scores for the team - Support the team in improving performance parameters by providing technical support and process guidance - Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions - Ensure standard processes and procedures are followed to resolve all client queries - Resolve client queries as per the SLAs defined in the contract - Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting - Document and analyze call logs to spot most occurring trends to prevent future problems - Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution - .