[Remote] Lead Data Engineer

Note: The job is a remote job and is open to candidates in USA. CitiusTech is a healthcare technology company focused on digital innovation, business transformation, and technology solutions for healthcare and life sciences organizations. The Lead Data Engineer will build and manage scalable data pipelines, ETL workflows, data processing frameworks, and data warehouse solutions using Databricks, PySpark, Python, SQL, and cloud technologies, while supporting analytics, reporting, and data-driven decision-making.

Responsibilities

• Design, develop, and maintain scalable and high-performance ETL pipelines and data processing workflows
• Build and optimize data ingestion frameworks for processing large volumes of structured and unstructured data
• Perform data preprocessing, transformation, and analytics using Python and PySpark
• Develop and manage ETL processing pipelines using AWS/Azure Databricks
• Build complex SQL queries and perform data analysis to support business and reporting requirements
• Design and implement data warehouse solutions to support enterprise analytics and reporting
• Work closely with cross-functional teams to understand data requirements and develop scalable solutions
• Develop reliable, efficient, and reusable data processing frameworks that support evolving business needs
• Support data validation, quality checks, performance tuning, and optimization of ETL processes
• Work in a fast-paced environment to deliver innovative data engineering solutions aligned with business objectives
• Create reports and visualizations using Tableau to support data-driven decision-making

Skills

• 10+ Years
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc
• Strong experience with AWS/Azure Databricks for developing and managing large-scale data processing and ETL pipelines
• Hands-on expertise in Spark (PySpark), Spark SQL, Python, SQL, ETL development, and Data Warehouse concepts
• Proven experience building scalable, high-performance data processing frameworks and ETL workflows
• Strong ability to develop complex SQL queries and perform detailed data analysis
• Experience in data ingestion, data transformation, and data pipeline development
• Hands-on experience working with cloud platforms such as AWS or Azure
• Strong understanding of data engineering best practices, performance optimization, and scalable architecture design
• Excellent visual, verbal, and stakeholder communication skills
• Knowledge of ETL concepts, Data Ingestion, and Shell Scripting (DOS/Bash)
• Experience building ETL processing pipelines using AWS Databricks or Azure Databricks
• Experience with Tableau for reporting and data visualization
• Exposure to AWS cloud services and data engineering ecosystems
• Experience working in Agile and fast-paced delivery environments
• Technical certification in multiple technologies is desirable

Benefits

• Remote work arrangement
• Continuous learning
• Work-life balance
• Opportunities for professional growth and career development

Company Overview

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