Remote SQL Reporting Engineer Job Openings 2025!!!
KLDiscovery announced job vacancy for the post of SQL Reporting Engineer.The place of posting will be at Remote (WFH).Candidates who have completed Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
| Name of the Company | KLDiscovery |
| Required Qualifications | Graduate |
| Skills | SSRS, PowerBI, Tableau |
| Category | Operations |
| Work Type | Onsite |
KLDiscovery, one of the largest national eDiscovery providers, is currently seeking a SQL Reporting Engineer. This person will assist in the development and testing of automated workflows, ETL, data warehousing and engineering, ad-hoc and ongoing reporting and visualizations, and provide expertise in data analysis and interpretation with supervision and direction from lead engineers and superiors. Remote work opportunity. India compensation is based upon the local competitive market.
Θ Positions: SQL Reporting Engineer
Θ Job Location: Remote (WFH)
Θ Salary: As Per Company Norms
Θ Job Type: Full Time
Θ Requisition ID: 1749
Roles and Responsibilities:
- Consult with technical and non-technical stakeholders to understand requirements, determine level of effort, develop and test solutions, and assist in the interpretation of results
- Design, develop, test, troubleshoot, and performance tune..
- Reports and visualizations with SSRS and Power BI
- Workflow automation and ETL, primarily using SQL and R scripting
- Data warehousing and data engineering solutions
Required Skills & Qualifications:
- 2+ years development with reporting/visualization tools (e.g. SSRS, PowerBI, Tableau)
- Strong SQL scripting (T-SQL is a must; PGSQL is nice-to-have) to write complex queries and optimize performance.
- Experience developing ETL solutions
- Experience working with large data sets
- Experience integrating data sources of multiple types
- Experience in data warehousing and data engineering solutions
- Experience interacting with stakeholders to define requirements and communicate technical concepts
- Knowledge of one or more programming languages used in data science and analysis (e.g. R, Python)
- Familiarity with version control, development, and deployment within Azure DevOps
- DAX and Power Query (M) scripting for Power BI
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