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Robotic Process Automation

Robotic Process Automation Data Jobs

2 jobs found

4d ago

Data Engineer

Accenture New York, NY

New York, NY

4d ago

$44 - $54/hr Full time Analytics Api Integration Automation

Job Description

Data Engineer role at Accenture Flex tasked with designing, developing, and maintaining data solutions, creating data pipelines, ensuring data quality, and implementing ETL processes across multiple systems; this onsite position requires client-facing work three days per week in Jersey City, NJ, Addison, TX, or Charlotte, NC.

Responsibilities

Design, build, and optimize scalable data pipelines to support complex workflows and analytics.
Partner with cross functional teams to deliver data solutions aligned with business requirements.
Identify, diagnose, and resolve data quality issues to ensure asset accuracy and reliability.
Mentor and share best practices with less experienced engineers and peers.
Drive ongoing improvements to data engineering processes and tooling to enhance team performance.

Requirements

At least five years of hands-on data engineering experience, including data integration and automation.
Strong command of SQL, Python, Java, and PowerShell, enabling extraction, transformation, and operationalization of data across multiple platforms.
Familiarity with Genesys Cloud, NIC Call Recording, Nexidia Interaction Analytics, NICE IEX Workforce Management, APA, Robotic Automation, and Symon Korbyt Wallboard technology.
Associate Degree.

Technologies

SQL
Python
Java
PowerShell
Genesys Cloud
NIC Call Recording
Nexidia Interaction Analytics
NICE IEX Workforce Management
APA
Robotic Automation
Symon Korbyt Wallboard technology
API Integration
Data Visualization

Benefits

Medical coverage
Dental coverage
Vision coverage
Long-term disability coverage
401(k) plan
Paid time off

Compensation and location

California — $44 to $54 per hour
Cleveland — $44 to $54 per hour
Colorado — $44 to $54 per hour
District of Columbia — $44 to $54 per hour
Illinois — $44 to $54 per hour
Maine — $44 to $54 per hour
Maryland — $44 to $54 per hour
Massachusetts — $44 to $54 per hour
Minnesota — $44 to $54 per hour
New York — $44 to $54 per hour
New Jersey — $44 to $54 per hour
Virginia — $44 to $54 per hour
Washington — $44 to $54 per hour

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8d ago

Financial Data Engineer

Equifax St. Louis, MO

St. Louis, MO

8d ago

Full time Python Apache Airflow Artificial Intelligence

Job Description

Equifax seeks a Financial Data Engineer in St. Louis, MO onsite to design and scale data frameworks for Equifax Workforce Solutions Finance, moving from prototype to production.

Responsibilities

Assist in the design and implementation of the Equifax Workforce Solutions Finance data models in GCP
Participate in the development of strategies, standards, and best practices in the areas of data access and integration within GCP
Create recommendations for increasing data utilization based on understanding of the data delivery environment
Partner with Technology, Security, Data Governance, and IT Operations to facilitate and accelerate the movement of key Financial data assets to GCP
Stay current with rapidly developing GCP technologies landscape and share knowledge with team
Support the technology roadmap and architectural discussions, translating high-level business vision into scalable engineering deliverables within an Agile framework
Orchestrate automated data workflows and processes using Python, Airflow, Jenkins and/or Astronomer to eliminate manual intervention and increase operating efficiency
Execute rigorous software development activities, including unit testing and code deployment, while reviewing unfamiliar code within a shared codebase to ensure codebase health by completing code review, refinement and optimization
Research and evaluate emerging data sources and advanced technologies including ML, AI and RPA to enhance the existing data strategy and to optimize the output of the Finance organization
Partner with governance and compliance professionals to ensure the ethical and legal use of data assets and maintain precise lineage tracking
Collaborate with IT Centers of Excellence (COEs) to refine ETL toolsets, ensuring continuous improvements in cycle time and system performance
Author training materials and lead sessions to educate internal teams on data strategy, operating models, and evolving data capabilities
Deconstruct complex organizational problems into actionable data components to drive evidence-based solutions
Triage product or system issues and debug/track/resolve by analyzing the sources of issues, completing a root cause analysis and implementing solutions to resolve the identified issue in both the short and long-term
Orchestrate automated data workflows and processes using Python, Spark, Airflow, Jenkins and/or Astronomer to eliminate manual intervention and increase operating efficiency

Requirements

Bachelor degree in Computer Science, Information Systems, Statistics, Economics, or equivalent quantitative field with heavy emphasis on programming
5+ years of experience in building, loading, transforming, and analyzing data within and across database platforms and other data stores is required
5+ years of experience working in GCP or a similar cloud environment
5+ years of scripting/coding experience
Proficiency in one or more of the following languages / tools: Python, SQL, BigQuery, Airflow / Cloud Composer

Technologies

GCP (Google Cloud Platform)
Python
Airflow
Jenkins
Astronomer
Spark
SQL
BigQuery
Cloud Composer
Tableau
Looker
Spotfire
ML
AI
RPA

Benefits

Comprehensive compensation
Healthcare packages
401k matching
Paid time off
Organizational growth potential through online learning platform with guided career tracks

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