Responsibilities

Data Engineering and Modelling: Develop and maintain analytics-ready datasets, transformations, and date models within Databricks and Azure-based data platforms to support reporting and business intelligence initiatives.
Databricks Development: Build and support data transformation workflows, notebooks, and analytics processes utilising Databricks within the Azure cloud workplace.
Analytics and Reporting: Support development and optimisation of Power BI and Tableau dashboards, datasets, and reporting solutions that deliver actionable business insights.
Cloud Data Platform Support: Collaborate with senior engineers to support Azure-based analytics architecture, data pipelines, integrations, and reporting environments.
Data Transformation and ETL/ELT: Support pipelines and transformation logic to prepare high-quality, analytics-ready datasets.
Stakeholder Collaboration: Work closely with business stakeholders, data engineers, and BI developers to understand requirements and deliver tailored analytics solutions.
Data Governance and Optimisation:



Implement and uphold best practices for data documentation, access control, and performance tuning.
User Enablement: Provide training, support, and best practice guidance to promote adoption of self-service analytics tools across the organisation.
Performs other duties as assigned.

Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Bachelor's degree in data analytics, computer science, information technology, engineering, or a related field (master's degree preferred).
2-4 years of experience in data analytics, analytics engineering, business intelligence, or data engineering-related roles.
Proven ability to develop executive-lev

📌 Data Engineer (Chennai)
🏢 Predigle
📍 Chennai