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Senior System Analyst

Job not on LinkedIn

🔥 2 minutes ago

🌽 Illinois, Kentucky, +3 more states – Remote

infoinfo

💵 $79.6k - $156.7k / year

⏰ Full Time

🟠 Senior

🧐 Analyst

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Logo of LouisianaNOW.Jobs

LouisianaNOW.Jobs

51 - 200 employees

🎯 Recruiter

🏪 Marketplace

Recruitment • Marketplace

LouisianaNOW. Jobs is a regional jobs portal and talent attraction site focused on connecting job seekers to employers and economic opportunities across Louisiana. The site highlights regional communities, industry sectors, current employers who are hiring, career advice articles, and job listings, and appears to be operated or supported by LED FastStart (Louisiana Economic Development). It’s positioned as a marketplace that promotes Louisiana’s growing industries and helps match talent with local openings and employer investment announcements.

📋 Description

• 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

• 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

• 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

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