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IT&D Sr. Data Engineer

Reckitt Benckiser

Reckitt Benckiser

IT, Data Science
Hyderabad, Telangana, India
Posted on Monday, February 12, 2024


  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes,
  • optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data
  • from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights, operational efficiency and other key business performance metrics.


  • 7+ years of strong hands-on experience as Data and Application architect, with proven experience in delivering large scale SaaS/PaaS/API/Microservice architecture-based applications
  • Experienced proficient in designing and developing of mappings, transformations, sessions, and workflows, and deploying integration solutions
  • Experience in designing Cloud based solution mainly using Azure SQL Database, Azure Data Factory v2, dbt, 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
  • Expert in distributed database system architecture principles
  • Ability to identify, define, create, and apply design patterns and standards
  • Good knowledge of service-oriented architecture (SOA) principles
  • 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

Qualifications required

  • Bachelor’s degree in computer science, Software Engineering, MIS or equivalent
  • Certification from one of the Big Data vendors – Microsoft, Cloudera, Hortonworks, IBM, Databricks, Teradata preferred
  • Master’s degree in business administration / computer science preferred