ETL Developer at Marktine Technology Solutions Pvt Ltd | GlassEver Jobs

ETL Developer at Marktine Technology Solutions Pvt Ltd | GlassEver Jobs

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Jobs / ETL Developer

ETL Developer

United States Oct 16, 2026
ETL-Developer Data-Engineer Data-Warehousing-Specialist SQL-Developer Database-Developer ETL-ELT-Developer ETL-Development ETL-Engineer Cloud-ETL-Developer ETL-Data-Engineer

Job Description

Category: Technology

Location:


Responsibilities:
  • Analyze, solve, and correct issues in real time.
  • Provide suggestions for solutions.
  • Create ETL packages. (Mandatory on SSIS, Knowledge of other ETL is good to have).
  • Experience with complicated SSIS Package coding and maintenance.
  • Participate in ongoing DW/BI performance tuning activities.
  • Refine and automate regular processes, track issues, and document changes.
  • Assist developers with query tuning and schema refinement.
  • Provide support for critical production systems as required.
  • Maintaining code versioning and support code deployments.
  • Perform scheduled maintenance and support deployment activities as required.
  • Manage SQL Databases but not limited and can extend to NoSQL/Cloud Database as applicable.
  • Preserve data integrity.
  • Maintains contemporary knowledge of industry trends, concepts, and techniques.
  • Experience in creation of SQL Tables, Views, MV’s, Stored Procedures and working on complex T- SQL statements.


Requirements

Skills & Certifications:
​
  • Expert knowledge in traditional relational database concepts and design.
  • Fluent in SQL
  • Database design and query optimization.
  • Write and debug stored procedures and ability in advanced SQL operations.
  • Advanced query, join operation, and aggregate.
  • Knowledge of data warehousing.
  • Automate manual data tasks through workflows and ETL packages.
  • Should possess skill to maintain, monitor, troubleshoot daily jobs using SQL Server Agent.
  • Administrate application and server environments.
  • Analyze data quality and make recommendations for data preparation.
  • Strong ability to communicate both verbally and in writing, especially with technical analysis (including understanding internal documents).
  • Experience with data manipulation, data engineering, and working with large data sets.
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