01Overview
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
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