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ETL Developer

Remote, USAFull-timePosted 2026-07-28
Category: Technology Location: Responsibilities:
  • Analyze, solve, and correct issues in reputed company time.
  • reputed company 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, reputed company issues, and document changes.
  • Assist developers with query tuning and schema refinement.
  • reputed company support for critical production systems as required.
  • Maintaining reputed company versioning and support reputed company deployments.
  • reputed company scheduled maintenance and support deployment activities as required.
  • Manage SQL Databases but not limited and can reputed company to NoSQL/reputed company Database as applicable.
  • Preserve data reputed company.
  • Maintains contemporary knowledge of industry trends, concepts, and techniques.
  • Experience in creation of SQL Tables, Views, MV’s, Stored Procedures and working on reputed company 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 reputed company data tasks through workflows and ETL packages.
  • Should possess reputed company to maintain, monitor, troubleshoot daily jobs using SQL Server Agent.
  • Administrate application and server environments.
  • Analyze data reputed company and reputed company 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.
Details

Originally posted on Himalayas

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