Data Architect for Optimal Data Systems

2 weeks ago


Remote Lublin Wrocław Katowice Gdańsk Opole Kraków Poznań Warszawa, Czech Republic Capgemini Polska Sp. z o.o. Full time
Capgemini Engineering: Unlocking Human Potential through Data Excellence

At Capgemini Engineering, we're on a mission to revolutionize the way businesses leverage data to drive innovation and success. As a seasoned Data Architect, you'll play a pivotal role in designing and implementing cutting-edge data systems that unlock the full potential of our clients' data. Join our team and be part of a global community that's shaping the future of technology.


Overview

Capgemini Engineering is a global leader in engineering services, partnering with companies to transform and manage their businesses through the power of technology. Our purpose is to unleash human energy through technology for an inclusive and sustainable future. With a strong 55-year heritage and deep industry expertise, we're trusted by our clients to address the entire breadth of their business needs, from strategy and design to operations.


About the Role

We're seeking an experienced Data Architect to join our team of analytics experts. As a key member of our data team, you'll be responsible for expanding and optimizing our data and data pipeline architecture, ensuring optimal data delivery architecture is consistent throughout ongoing projects. You'll work closely with our software developers, database architects, data analysts, and data scientists to support data initiatives and deliver actionable insights into customer acquisition, revenue management, operational efficiencies, and other key business performance metrics.


Responsibilities
  • Design and implement optimal data pipeline architecture to support business needs
  • Assemble large, complete data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements to automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability and performance
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, revenue management, operational efficiencies, and other key business performance metrics
  • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
  • Keep data separated and secure across national boundaries through multiple data centers and regions
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our offerings

Requirements
  • R: A programming language used for statistical computing and graphics.
  • SQL: A standard language for managing relational databases.
  • Big Data: A field of study dealing with large-scale data sets and analytics.
  • Apache Spark: A unified analytics engine for large-scale data processing.
  • Kafka: A distributed streaming platform for building real-time data pipelines.
  • Storm: A distributed real-time computation system for processing large-scale data streams.
  • Scripting language: A high-level programming language used for automating tasks and processes.
  • Scala: A multi-paradigm programming language used for building scalable and concurrent systems.
  • Relational database: A type of database that organizes data into tables with well-defined relationships.
  • Data warehouses: A centralized repository for storing and managing large-scale data sets.
  • PostgreSQL: A popular open-source relational database management system.
  • Microsoft SQL Server: A commercial relational database management system.
  • Oracle: A commercial relational database management system.
  • GCP: A cloud computing platform for building and deploying scalable applications.
  • BigQuery: A fully-managed enterprise data warehouse service for analyzing large-scale data sets.
  • Hadoop: A distributed computing framework for processing large-scale data sets.
  • Spark: A unified analytics engine for large-scale data processing.
  • Hive: A data warehousing and SQL-like query language for Hadoop.
  • HBase: A NoSQL database for storing and managing large-scale data sets.
  • NoSQL: A category of databases that don't use traditional table-based relational models.
  • Data pipelines: A series of processes for extracting, transforming, and loading data from various sources.
  • Excel: A spreadsheet software for data analysis and visualization.
  • Project management: A discipline for planning, organizing, and controlling projects.
  • Cloud: A model for delivering computing resources over the internet.

Additional Benefits
  • Sport Subscription: A benefit for employees to stay healthy and active.
  • Private healthcare: A benefit for employees to access medical care and wellness programs.
  • Home office: A benefit for employees to work remotely and maintain a healthy work-life balance.
  • Certificates: A benefit for employees to develop new skills and enhance their professional development.
  • Pluralsight: A benefit for employees to access online courses and tutorials for professional development.
  • LIFE insurance: A benefit for employees to protect their loved ones in case of unexpected events.
  • Udemy for business: A benefit for employees to access online courses and tutorials for professional development.

Salary: The estimated salary for this role is $90,000 - $120,000 per year, depending on experience and qualifications. Bonus and benefits will be discussed during the interview process.


Location: This role is based in Katowice, Poland, with opportunities to work remotely and collaborate with global teams. We offer a hybrid work model that fits your life, with a modern office and home office package.


Join us and be part of a global community that's shaping the future of technology. Apply now to take the first step in your career journey with Capgemini Engineering.


Brand: Capgemini Engineering Professional Community: Software Engineering Ref. code: 99014 Posted on: 31 Oct 2024 Experience Level: Experienced Professionals Contract Type: Fixed Term Contract Apply now and be part of a global community that's shaping the future of technology. Join us and be part of a global community that's shaping the future of technology. Capgemini Engineering is a global leader in engineering services, partnering with companies to transform and manage their businesses through the power of technology. Our purpose is to unleash human energy through technology for an inclusive and sustainable future. With a strong 55-year heritage and deep industry expertise, we're trusted by our clients to address the entire breadth of their business needs, from strategy and design to operations. We're a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. Join us and be part of a global community that's shaping the future of technology.



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