Senior System Analyst

LouisianaNOW.Jobs

. Analyze, design, develop, and support enterprise data management solutions, Big Data platforms, ETL/ELT pipelines, and data integration processes .

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $79,600 - $156,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in designing, developing, and supporting enterprise data management solutions, including proficiency in Python, PySpark, Apache Spark, and Azure Data Factory. Capable of performing complex data analysis, ETL/ELT processes, and collaborating effectively with cross-functional teams in Agile environments.

Highest-signal resume keywords

Python ProgrammingApache Spark DevelopmentAzure Data Factory ExpertiseETL/ELT Pipeline DevelopmentData Analysis and Mapping

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPySparkApache SparkSQLETL/ELTHadoop/HDFSHiveDatabricksSSISUnix/Linux Shell Scripting

Soft Skills

Analytical SkillsProblem-SolvingStakeholder CommunicationCross-Functional Collaboration

Tools & Technologies

Azure Data FactoryControl-MDatabricks WorkflowsAgile/ScrumPower BI

Industry Keywords

Big DataData IntegrationData WarehousingData QualityEnterprise Data Management

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureCloudETLHadoopHDFSJavaJenkinsKafkaLinuxPySparkPythonScalaShell ScriptingSparkSQLSSISTableauUnix

About the role

Key responsibilities & impact

Analyze, design, develop, and support enterprise data management solutions, Big Data platforms, ETL/ELT pipelines, and data integration processes
Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into functional and technical specifications
Perform system analysis, impact assessments, gap analysis, data mapping, and source-to-target transformation analysis
Design, develop, and enhance large-scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hadoop/HDFS, Hive, and Azure Data Factory
Analyze and support Databricks notebooks, Spark jobs, Delta Lake tables, and Lakehouse workflows
Design and maintain ADF data ingestion, transformation, and integration pipelines
Develop and optimize SQL queries, stored procedures, data transformations, and source-to-target mapping specifications
Analyze, develop, and maintain ETL workflows using SSIS and modern cloud-based data integration technologies
Develop and maintain reusable Python, PySpark, and Unix/Linux Shell Scripts
Analyze data integration requirements across databases, APIs, files, cloud storage, and enterprise applications
Support batch processing, job scheduling, dependency management, and workflow orchestration using Control-M, ADF, and Databricks Workflows
Perform data profiling, validation, reconciliation, root cause analysis, and troubleshooting
Optimize Spark jobs, Databricks workloads, SQL queries, and data pipelines for performance, scalability, and reliability
Prepare functional specifications, technical design documents, data mapping documents, process flows, and system integration documentation
Collaborate with developers, QA teams, Product Owners, Scrum Masters, and architects on development, testing, and releases
Participate in Agile/Scrum ceremonies
Support production deployments, incident investigation, defect resolution, change management, and post-deployment validation

Requirements

What you’ll need

8+ years of experience in Systems Analysis, Data Engineering, Big Data Development, ETL/ELT, or enterprise data integration
Strong hands-on experience with Python, PySpark, Apache Spark, SQL, Databricks, and Azure Data Factory (ADF)
Experience analyzing, designing, developing, and supporting enterprise-scale data processing applications and ETL/ELT pipelines
Experience gathering business and technical requirements, performing system impact analysis, documenting functional specifications, and developing source-to-target data mappings
Hands-on experience with Azure Data Factory for data ingestion, transformation, integration, and workflow orchestration
Experience with Hadoop/HDFS and Hive
Strong SQL skills, including complex queries, stored procedures, data transformations, reconciliation, and performance optimization
Experience developing, analyzing, and supporting ETL workflows using SSIS
Experience with Unix/Linux Shell Scripting and Control-M
Strong understanding of Delta Lake, Databricks Workflows, Lakehouse architecture, data warehousing, data modeling, and enterprise data integration
Experience with data profiling, validation, source-to-target reconciliation, data quality, troubleshooting, and root cause analysis
Experience preparing business requirements, functional specifications, technical documentation, data flow diagrams, and system integration specifications
Experience supporting application development, integration testing, UAT, production deployments, and incident resolution
Experience working in Agile/Scrum environments
Strong analytical, problem-solving, stakeholder communication, and cross-functional collaboration skills
Desired: Azure cloud services including ADLS Gen2, Azure Synapse Analytics, and Azure DevOps
Desired: AWS services including S3, Glue, EMR, Lambda, and Redshift
Desired: Kafka, Airflow, Java/Scala, Git, Jenkins, and CI/CD pipelines
Desired: Power BI, SSRS, Tableau, or other enterprise reporting and analytics tools
Desired: Data governance, metadata management, data lineage, data quality frameworks, and enterprise data management practices
Desired: Prior experience supporting large-scale enterprise data platforms in healthcare, insurance, or other regulated industries
Successful completion of a background investigation is required for U.S. employment

Benefits

Comp & perks

Competitive compensation including profit participation program
Comprehensive medical, dental, and vision benefits
Basic life and accidental death & dismemberment insurance
Matching contributions through 401(k) plan
CGI share purchase plan
Paid accrued vacation leave, ranging from 10 to 20 days per year
10 paid holidays per year
At least 80 consecutive hours of paid sick/safe leave
Paid parental leave, ranging from 20 to 70 consecutive business days
Bereavement leave, ranging from 1 to 7 days per year
Paid jury duty leave, up to time summoned
Learning opportunities and tuition assistance
Wellness and Well being programs