
5001 - 10000 employees
Founded 1982
CSG is a leader in innovative customer engagement, revenue management and payments solutions that make ordinary customer experiences extraordinary. Our cloud-first architecture and customer-obsessed mindset help companies around the world launch new digital services, expand into new markets, and create dynamic experiences that capture new customers and build brand loyalty. For over 40 years, CSG’s technologies and people have helped some of the world’s most recognizable brands solve their toughest business challenges and evolve to meet the demands of today’s digital economy with future-ready solutions that drive exceptional customer experiences. With more than 5,000 employees in over 20 countries, CSG is the trusted technology provider for leading global brands in telecommunications, retail, financial services and healthcare. Our solutions deliver real world outcomes to more than 900 customers in over 120 countries.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

5001 - 10000 employees
Founded 1982
CSG is a leader in innovative customer engagement, revenue management and payments solutions that make ordinary customer experiences extraordinary. Our cloud-first architecture and customer-obsessed mindset help companies around the world launch new digital services, expand into new markets, and create dynamic experiences that capture new customers and build brand loyalty. For over 40 years, CSG’s technologies and people have helped some of the world’s most recognizable brands solve their toughest business challenges and evolve to meet the demands of today’s digital economy with future-ready solutions that drive exceptional customer experiences. With more than 5,000 employees in over 20 countries, CSG is the trusted technology provider for leading global brands in telecommunications, retail, financial services and healthcare. Our solutions deliver real world outcomes to more than 900 customers in over 120 countries.
• Generate and maintain complex data sets needed for analytics • Design and implement solutions to automatically extract, transform, and load data sets where needed • Create scripts, tools, or other software solutions • Understand business KPIs and translate to requirement definitions used in reporting • Monitor, Assist and Engineer solutions to resolve data issues from service desk • Identify areas for design and implementation improvement • Analyze and determine automation scripts and process to improve problem avoidance and early detection of incidents and problems. • Implement data warehouse solutions for specific clients, in a repeatable fashion, leveraging the platform where possible and enhancing it when necessary • Implementation of but not limited to data model design, ETL processing, data match and hygiene business rules, data auditing, profiling, and reporting • Collaborates with Data Scientists, Architects, and business teams to improve data streams that feed business intelligence tools, increasing data accessibility, and fostering educated decision making across the organization
• Bachelor's Degree in Computer Science or similar degree • 2+ years of Industry experience in a report development, data science, business analytics, business intelligence or comparable data engineering role, including data warehousing and business intelligence tools, techniques, and technology • 2+ years of solid Python programming skills to cleanse, manipulate, and present data, particularly using Pandas and Numpy • 2+ Years of SQL. Must have the ability to write complex, highly optimized queries across large volumes of data • 1+ years of experience creating business intelligence solutions. Exposure to modern BI/Data Visualization Platform (e.g. Domo, Looker, Mode, Sisense, etc.) • Strong analytical and problem-solving skills with emphasis in understanding relationship of technical problems with business solutions/issues • Excellent English written and verbal communication skills • Solid knowledge of enterprise data modeling and architecture • Ability to quickly analyze, access and improve DBA operations • Ability to quickly grasp and develop an expert knowledge of CSG’s business, industry, and applications. • ETL processing and data warehouse model experience / understanding • Exposure to and direct SQL centric project work. • Experience with scripting technologies (Python, R, JS, etc.) • Familiar with AWS services, including but not limited to S3, EC2, Data Pipeline, Lambda, CloudFormation, EventBridge, SNS, SQS and Athena
• Sul America Health and Dental • Vidalink Food/Meal Voucher • Child Care Assistance • Day off: on birthday • Gympass • Language assistance • Volunteer time off: 2 days a year
Apply Now🔥 2 minutes ago
Data Engineering Specialist responsible for evolving data architecture for AI solutions. Joining a tech-driven company focused on data transformation and intelligent solutions.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Java
Python
Scala
Spark
SQL
Vault
🔥 45 minutes ago
Data Engineer role focused on Databricks and SAP integration for international projects. Collaborating with teams from North America for data transformation, reporting, and analytics.
🗣️🇧🇷🇵🇹 Portuguese Required
🕒 5 days ago
Senior Data Engineer focusing on backend development with Python and building data pipelines on GCP. Collaborating in an international team with advanced English skills required.
🗣️🇧🇷🇵🇹 Portuguese Required
Azure
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Numpy
Pandas
Python
Redis
SQL
🕒 5 days ago
Data Engineer building and maintaining data pipelines on Google Cloud Platform. Ensuring data quality and governance while collaborating with business and technology teams.
🗣️🇧🇷🇵🇹 Portuguese Required
BigQuery
Cloud
ETL
Google Cloud Platform
🕒 6 days ago
Senior Data Engineer involved in backend development and data pipelines for GFT. Collaborating with international teams and ensuring data quality in GCP environment.
🗣️🇧🇷🇵🇹 Portuguese Required
Azure
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Numpy
Pandas
Python
Redis
SQL