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 setting.

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