Senior Data Engineer

JD

• *ESSENTIAL DUTIES AND RESPONSIBILITIES**

• Data Engineering and Modeling: Develop and maintain analytics\-ready datasets, transformations, and date models withing 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 utilizing Databricks within the Azure cloud environment.
• Analytics and Reporting: Support development and optimization 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 Optimization: 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 organization.
• Performs other duties as assigned.

• *QUALIFICATION 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, modeling, and transformation.
• Experience working with Databricks, Azure cloud technologies, and modern 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.
• Highly ethical and moral standards
• Adherence to Compliance Standards and Policies
• Adherence to 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

Pay: ₹510,635\.08 \- ₹1,872,149\.47 per year

Work Location: Hybrid remote in Chennai, Tamil Nadu