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Data Engineer (SSIS)

PublishedPublished: 6/14/2022
Technology
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Job Description

Job DescriptionData engineer (SSIS)
Rate - $60-$62 per hour
Location - Plano TX
Experience - 7 Years

Job Description -

Key Responsibilities

SSIS Migration & Modernization (Mandatory)

  • Analyze and assess existing SSIS packages, ETL workflows, and dependencies.
  • Design migration strategies for SSIS workloads to modern cloud-based or enterprise data platforms.
  • Re-engineer ETL logic while preserving business functionality.
  • Develop migration accelerators, reusable frameworks, and automation solutions.
  • Perform end-to-end migration, testing, deployment, and production support.

Data Engineering

  • Design and build scalable data pipelines.
  • Develop data ingestion, transformation, and orchestration processes.
  • Implement data quality and validation frameworks.
  • Support batch and near-real-time data processing requirements.

Database Development

  • Develop and Eligible to workimize complex T-SQL queries, views, procedures, and functions.
  • Perform SQL performance tuning and troubleshooting.
  • Implement data reconciliation and validation processes.

Data Warehousing

  • Design and support enterprise data warehouse solutions.
  • Work with Fact, Dimension, Star Schema, and Snowflake Schema models.
  • Implement CDC and SCD strategies.

Cloud Data Platforms

  • Develop and support cloud-native data integration solutions.
  • Participate in migration of on-premises data workloads to cloud environments.
  • Support CI/CD implementation for data pipelines.


Required Skills
Core Technologies

  • SQL Server
  • T-SQL
  • SSIS Package Development
  • SSIS Package Analysis and Migration
  • ETL/ELT Design
  • Data Migration
  • SQL Performance Tuning

Data Warehousing

  • Dimensional Modeling
  • Star Schema
  • Snowflake Schema
  • Fact and Dimension Modeling
  • CDC
  • SCD

Cloud & Modern Data Engineering
Experience in one or more:

  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Microsoft Fabric
  • Azure Data Lake Storage (ADLS)
  • Databricks
  • Apache Spark / PySpark

Reporting & Analytics

  • SSRS
  • Power BI

Programming & Scripting

  • Python
  • PowerShell
  • C#
  • .NET

DevOps

  • Azure DevOps
  • Git
  • CI/CD Pipelines


Preferred Experience

  • 5 years of experience in ETL/Data Engineering.
  • 3 years of SSIS development experience.
  • Hands-on experience migrating SSIS workloads to:
    • Azure Data Factory
    • Microsoft Fabric
    • Databricks
    • Synapse Analytics
  • Experience with data validation and reconciliation during migration projects.
  • Ability to estimate migration effort and identify dependencies.


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