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Sr RPA Developer

Clean Harbors
Hyderabad, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 weeks ago
MS SQLT-SQLSSIS
Free

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MS SQLT-SQLSSIS
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Responsibilities

  • Database Development & Architecture
  • Lead the logical and physical architectural design of large-scale database schemas.
  • Establish, enforce, and maintain global SQL coding standards and naming conventions across the organization.
  • Author complex, bulletproof Transact-SQL ( T-SQL ) constructs, including advanced stored procedures, user-defined functions, triggers, and dynamic SQL.
  • ETL & SSIS Pipeline Engineering
  • Architect, test, and deploy enterprise-level SSIS (SQL Server Integration Services) packages.
  • Handle end-to-end data ingestion, cleansing, and multi-source transformation.
  • Build intelligent error-handling, logging, alerts, and transactional checkpoints into ETL packages.
  • Automate and coordinate complex workflow scheduling using tools like SQL Server Agent or enterprise schedulers.
  • Performance Optimization & Operations
  • Conduct deep-dive query performance tuning using SQL Profiler, execution plans, and index analysis.
  • Troubleshoot complex runtime bottlenecks, deadlocks, and resource contention issues in production systems.
  • Direct seamless schema migrations, database upgrades, and high-availability disaster recovery layouts

Qualifications

  • Minimum of 10 years of hands-on experience in production SQL development and RDBMS architecture.
  • 10+ years of specialized experience building advanced enterprise data pipelines using MS SQL Server and SSIS .
  • Technical Skill Set
  • Databases: Expert-level mastery of Microsoft SQL Server (versions 2016 through recent enterprise editions).
  • Languages: Deep proficiency in T-SQL (advanced window functions, CTEs, structural optimization).
  • ETL Frameworks: Advanced SSIS architecture (custom script components, performance tuning data flows).
  • System Design: Firm grasp of fundamental ACID properties, concurrency controls, and transaction isolation levels.
  • Education
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or an equivalent technical field.
  • Preferred Skills (Nice to Have)
  • Hands-on experience building enterprise analytics reports or dashboards using SSRS or Power BI .
  • Foundational experience with cloud data ecosystems such as Microsoft Azure (Azure Data Factory, Azure SQL) or AWS.
  • Exposure to modern programming or scripting tools like Python, C#.NET, or PowerShell for data automation tasks.
  • Experience working within Agile or Scrum frameworks.

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