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 environment.

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-level dashboards using Power BI and/or Tableau.

Strong experience with SQL for data querying, modelling, and transformation.

Experience working with Databricks, Azure cloud technologies, and contemporary analytics engineering workflows preferred.

Experience supporting data transformation, ETL/ELT development, and analytics-ready dataset creation using SQL and cloud-based technologies.

Familiarity with Azure cloud services such as Azure Data Factory, Data Lake, Synapse, and Databricks preferred.

Familiarity with scripting languages (e. g., Python, R) for data manipulation is a plus.

Excellent communication skills to translate technical concepts to non-technical stakeholders.

Strong problem-solving and analytical skills.

Ability to work independently and collaboratively in a fast-paced environment. Compliance, Ethics And Professionalism Highly ethical and moral standards.

Adherence to Compliance Standards and Policies.

Adherence to the Employee/HR Manual and company policies/procedures.

Sensitivity with confidential information (both business and patient information).

Positive and professional attitude.

Strong ability to work collaboratively with others in a team atmosphere. This job was posted by Pratap M S from Predigle.

📌 Data Engineer (Chennai)
🏢 Predigle
📍 Chennai