SQL Developer

SDH Systems LLC

Posted 1 year ago

Location: Remote

Job Schedule: Full Time

Salary: 128,502.00/Annum

Job duties:

  • Developing and implementing data pipelines using Azure Synapse Pipelines.
    • Identify the data sources and destinations for customer data integration or transformation tasks and configure parameters and variables to make pipeline more flexible and reusable.
  • Creating, managing, and maintaining automation workflows using Azure Runbooks.
    • designs, develop, and implement automated solutions to streamline and optimize various tasks and processes within the Azure cloud environment.
  • SQL Query optimization and performance tuning
    • Analyze complex queries and look for opportunities to rewrite them in a more optimized form. Simplify subqueries, eliminate unnecessary joins.
    • Use parameterized queries to prevent SQL injection and improve query plan catching, which can lead to better performance.
  • Migrating data from a virtual machine (VM) to SQL Managed Instance.
    • Plan and execute the backup of the source database on the VM. Restore the database backup to the SQL Managed Instance.
    • Participate in testing the application with the new SQL Managed Instance to verify data integrity and identify any data-related issues.
  • Performing Data Analysis and Data Scientists tasks
    • Analyze and profile the existing data to identify data quality issues and inconsistencies.
    • Evaluate data usage patterns and identify areas for improvement in data processing.
    • Propose data cleansing, transformation, and enrichment strategies.
  • Automating existing manual tasks by writing Stored Procedures in SQL
    • Collaborate with other teams and stakeholders to identify the need for automation and understand the scope of the project.
  • Creating and maintaining Audits, stored procedures, and user defined functions as per client requirements and creating database triggers for automation.
  • Designing Architecture for ETL/SSIS packages and Designing SSIS packages with different data sources (SQL, Flat files and XMLs etc.) and loading the data into target source by performing different kinds of transformations.

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