Senior Data Warehouse Developer

7 days ago

Pune, Maharashtra, India Worldline Full time

About Worldline

We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our solutions power the growth of millions of businesses tomorrow. From local coffee shops to international banks, we are in every corner of the world, in every part of commerce. We help our customers accelerate their business, and we are committed to helping our people accelerate their careers.

The Opportunity

We design and operate leading digital payment and transactional solutions that enable sustainable economic growth and reinforce trust and security in our societies. As a highly skilled Data Warehouse Engineer, you will produce scalable software solutions in the Payments Domain. You'll be part of a cross-functional team responsible for the full software development life cycle, from conception to deployment.

Responsibilities

  • Design and architecture: knowledge of warehouse architecture, including data models, schema designs, and ETL processes.
  • Choose the appropriate technology stack and tools for data warehousing solutions.
  • Develop and maintain ETL jobs to integrate data from various sources into the data warehouse.
  • Work with business analysts and stakeholders to understand data requirements and convert them into relevant data models.
  • Optimize data warehouse performance through indexing, partitioning, and query optimization techniques.
  • Ensure scalability and efficiency in data storage and retrieval.
  • Implement and enforce data governance policies to ensure data quality and compliance.
  • Ensure secure access to data warehouse environment and data protection measures.
  • Testing, maintenance, and documentation.

Mandatory Skills

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Minimum of 8 years of experience as a Data Engineer with a focus on Google cloud-based solutions.
  • Strong knowledge of versioning and CI/CD.
  • Advanced experience with or knowledge of most of the following software, languages, and tools: Oracle Analytics Server (+BI Publisher) and Oracle Data Integrator, PL/SQL.
  • Advanced knowledge and experience in Oracle database technologies, SQL, ETL process, reporting, and analytics.
  • Experience in database design and modeling for Oracle Data Warehouse and Business Intelligence applications, including relational database structures and normal forms.
  • Experience with software documentation and version control (GIT).
  • Knowledge of PCI standards and secure coding techniques and tools (Sonar Cube).
  • Analytical and troubleshooting skills with complex technical subjects and tasks.
  • Ability to present and explain complex technical topics, problems, alternative solutions to others.
  • Ability to work and communicate in a team.
  • Experience estimating solution development and delivering solutions against those estimates.
  • Knowledge and understanding of the software development life cycle.

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