Job description

Job Description Lead Data Engineer Who we are: - At CitiusTech , we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners. Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives. Our vision: - To inspire new possibilities for the health ecosystem with technology and human ingenuity. What is in it for you? Data Engineer is responsible for building scalable and high-performance data pipelines, ETL workflows, and data warehouse solutions using Databricks, PySpark, Python, SQL, and cloud technologies. 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. Experience: - • 10+ Years Location: - • Remote Educational Qualifications: - • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc. • Technical certification in multiple technologies is desirable. Skills: - Mandatory skills • 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. Good to Have 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. Life at CitiusTech We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge . Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance. Rated by our employees as the ‘Great Place to Work for’ according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us. Our EVP Be You Be Awesome is our EVP and it reflects our continuing efforts to create CitiusTech as a great place to work where our employees can thrive, both personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact. Join CitiusTech. Be You. Be Awesome. To learn more about CitiusTech, visit and follow us

Requirements

Must-haves

Lead Data Engineer
Who we are: -
Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives.
Our vision: -
To inspire new possibilities for the health ecosystem with technology and human ingenuity.
What is in it for you?
Data Engineer is responsible for building scalable and high-performance data pipelines, ETL workflows, and data warehouse solutions using Databricks, PySpark, Python, SQL, and cloud technologies.
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.
Experience: -
Educational Qualifications: -
Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Mandatory skills

Nice-to-haves

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pythonsqlawsazureagile

Platform: ripplehire
Effort: medium

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