SSIS SQL ENGINEER

4 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Data Integration Support Engineer (L2/L3)Position Title: Data Integration Support Engineer (L2/L3)  


Location: Hyderabad 


JD: Data Integration Support Engineer (L2/L3)


Position Title: Data Integration Support Engineer (L2/L3) 

 

Experience: 1–4years, Mid-level and Senior

Work Hours:

Job Summary

We are seeking a skilled SSIS Support Engineer to monitor, troubleshoot, and maintain SSIS packages in our production and development environments. The role requires strong problem-solving skills, experience with SQL Server, and the ability to analyze and resolve ETL-related issues promptly.

Responsibilities

•  Monitor SSIS package executions and troubleshoot failures

•  Perform root cause analysis for recurring ETL failures or data issues

•  Manage SQL Server Agent jobs and ensure SLAs are met

•  Handle support tickets, incident reporting, and communication with business/data teams

•  Validate data loads, check data integrity, and perform data reconciliations

•  Coordinate with development teams for bug fixes and enhancements

•  Maintain logging, alerts, and email notifications in SSIS packages

•  Support deployments and configuration management across Lookup environments

Required Skills

•  3+ years hands-on experience with SSIS development/support

•  Strong T-SQL scripting and debugging skills

•  Familiar with various SSIS components like Script Task, , Merge Join, Conditional Split, etc.

•  Proficient in debugging SSIS packages and reading execution logs

•  Experience in handling flat files, Excel, Oracle, APIs, and other data sources

•  Good understanding of error handling and event logging in SSIS

•  Experience with job scheduling using SQL Server Agent or similar tools

•  Exposure to ticketing tools (e.g., Jira, ServiceNow)

Nice to Have

•  Knowledge of version control (Git, TFS)

•  Familiarity with PowerShell scripting

•  Experience with SSRS or SSAS

•  Understanding of Azure Data Factory (ADF)

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