Job description

This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.

This role forms part of Enterprise Data and Analytics organisation.

Reckitt has a Data and Analytics (D&A) team, focused on leveraging core information assets to better equip markets to improve their decisions and optimize their actions through the use of improved data, insights and advanced analytics The D&A team consists of five (5) key areas of expertise: Engineering, Visualization, Strategy and Operations, Platform and Governance

Responsibilities / Accountabilities

  • Develop solutions using Cloud infrastructure to store, process and retrieve data
  • Install and configure information systems to ensure business data functionality
  • Analyze structural requirements for new software and applications
  • Utilize Azure services to design and build cost effective solutions which satisfy business needs for a modern Data Warehouse in the cloud
  • Build environments for storing raw data utilizing Azure Data Lake Storage
  • Migrate data from legacy systems to new solutions
  • Design, build and implement conceptual and logical data models
  • Participate in the creation and maintenance of design patterns standards and design blocks to facilitate wider consistency and promote re-use of design elements
  • Improve system performance and optimize new and current database systems
  • Work with enterprise architects to explore and define how the proposed solutions will fit into the enterprise data architecture
  • Define security and backup procedures and mitigation strategies
  • Coordinate with Data Science team to identify and refine the platform data needs
  • Design, coordinate and execute prototypes/POC, to validate new solutions, tools and methods
  • Provide peer review and code review for all development work in accordance with RB’s development practices
  • Mentor and assist the delivery team across development and implementation the life cycle
  • Continuously evaluate relevant technologies, influence and drive architecture and design discussions

Skills

SKILLSET AND EXPERIENCE

  • 1-5 years of strong hands-on experience as Data and Application
  • Experience in Cloud based solution mainly using Azure SQL Database, Azure Data Factory v2, Azure Cosmos DB, Azure Data Lake Storage, Azure Functions, Azure Active Directory and Azure security
  • Good understanding of ETL technologies, Azure Cloud and Azure Analytics stack, e.g., Azure Data Lake, Azure Databricks, Azure Data Factory
  • Hands-on experience in multiple end-to-end data warehousing/ETL project implementations
  • Good understanding in databases and analytics, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark), noSQL, and business analytics
  • Practical experience of working with continuous delivery, continuous integration pipelines
  • Proficiency in any of the Languages (R, python, java, c#, powershell)
  • In depth experience of the design and development of IT solutions
  • Should have worked in agile environments and good to have exposure to Devops and git/ release processes
  • Should be able to clearly articulate pros and cons of various technologies and platforms
  • Excellent communication and presentation skills, with experience dealing with business groups and all levels of the organization.
  • Ability to work well independently and in collaborative, cross- discipline environments
  • Ability to explain complex technical solutions to audiences at different technical knowledge
  • Excellent oral and written communications skills
  • Excellent stakeholder management skills

Qualifications Required

  • Bachelor’s degree in computer science, Software Engineering, MIS or equivalent

Travel

The role will be based in Warsaw (Poland). Note that the incumbent in the position can expect periodic travel to Hyderabad (India), Slough & Hull (UK) to connect with key stakeholders.

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