Data Analytics Engineer Job in Bengaluru at Rightpoint

Rightpoint is hiring for the role of Data Analytics Engineer!

Responsibilities of the Candidate:

• Design, develop, and maintain clean, tested, and scalable data models to support analytics and business intelligence needs. These data models will be created to serve business analysis objectives, and the role's responsibility will entail defining rules and requirements for the data.
• Collaborate with data analysts and business stakeholders to define data requirements and ensure data consistency across different platforms, and to promote self-service analytics.
• Build, optimize, and document transformed pipelines into visualization and analysis environments to ensure high data quality and integrity.
• Implement data transformation best practices using modern tools such as dbt (Data Build Tool), SQL, and cloud data warehouses (e.g., Azure Synapse, BigQuery, Azure Databricks, etc.).
• Monitor and troubleshoot data quality issues, ensuring data accuracy, completeness, and reliability.
• Establish and maintain analytics platform best practices for the team
• Maintain documentation to ensure that everyone on the team uses the same data definitions and language.
• This role requires a high degree of collaboration with other team members, incl. data engineers, business and visualization analysts, and data scientists to align data assets to business analysis objectives.

Requirements:

• Technical Proficiency: Strong knowledge of SQL and Python.
• Familiarity with cloud platforms like Azure, Azure Databricks, and Google BigQuery.
• Understanding of schema design and data modeling methodologies.
• Hands-on experience with dbt (Data Build Tool) for data transformation and modeling.
• Software Engineering Practices: Experience with version control systems (e.g., Git) and CI/CD workflows.
• A passion for continuous improvement and learning – for example, keeping up to date with Artificial Intelligence technologies, tools, and methods and applying them to your everyday activities.
• Communication Skills: Ability to translate technical concepts for non-technical stakeholders.
• Problem-Solving: Analytical mindset to address business challenges through data design.
• Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
• Strong problem-solving skills and attention to detail.