Data Engineer - CCDA Index Specialist

Join Quadtree Technologies, a leading technology innovator based in Hyderabad, Telangana, India, as a Data Engineer - CCDA Index Specialist . We are committed to transforming data into actionable insights that drive business success. In this full-time, on-site role, you will be at the forefront of our data engineering initiatives, working with cutting-edge tools and technologies in a collaborative environment. This position offers excellent career development opportunities, including access to mentoring, training programs, and a culture that fosters continuous learning and innovation. Key Responsibilities Design and implement robust ETL/ELT pipelines to ensure seamless data flow and transformation across multiple platforms, improving data processing efficiency by up to 30%. Utilize Databricks for scalable data processing and advanced analytics, optimizing performance to handle large datasets with minimal latency. Administer data governance frameworks to maintain data quality, integrity, and compliance with industry standards and regulations. Integrate APIs to enable smooth data exchange between internal systems and third-party applications, enhancing interoperability. Collaborate closely with cross-functional teams including data scientists, analysts, and product managers to understand data requirements and support agile development cycles. Monitor and optimize cloud storage solutions ensuring cost-effective and reliable data storage and retrieval. Participate actively in CI/CD pipelines to automate deployments, improve code quality, and accelerate delivery timelines. What We're Looking For Required: Minimum 5-6 years of professional experience in data engineering roles, with a strong focus on ETL/ELT and data governance. Proficiency in PySpark and SQL for complex data manipulation and querying. Hands-on experience with Databricks platform for big data processing. Experience integrating APIs and managing cloud storage solutions such as AWS S3, Azure Blob Storage, or Google Cloud Storage. Familiarity with Agile methodologies and CI/CD best practices. Strong problem-solving skills and ability to work effectively in a fast-paced team environment. Preferred: Experience with healthcare data standards, particularly CCDA (Consolidated Clinical Document Architecture) indexing. Knowledge of data security and privacy regulations relevant to healthcare or technology sectors. Exposure to containerization and orchestration tools like Docker and Kubernetes. What We Offer Competitive salary aligned with industry benchmarks in Hyderabad and the US market. Health insurance coverage for you and your family. Paid time off to support work-life balance and personal wellbeing. Retirement plan options to secure your financial future. Professional development opportunities including mentoring, workshops, and certifications. Dynamic and inclusive workplace culture fostering innovation and collaboration. On-site work environment in Hyderabad with modern facilities and flexible work arrangements. Frequently Asked Questions Is this position remote or on-site? This is an on-site role based in Hyderabad, Telangana, India. Remote work is not available for this position. What level of experience is required? Candidates should have at least 5-6 years of relevant professional experience in data engineering, especially with ETL/ELT and Databricks. What technologies will I work with? You will primarily work with Databricks, PySpark, SQL, cloud storage platforms, and API integrations. Are there opportunities for career growth? Yes, Quadtree Technologies emphasizes continuous learning and offers mentoring and training to support your career advancement. What benefits does the company provide? We offer health insurance, paid time off, retirement plans, and a supportive work environment. How do I apply? Interested candidates should submit their application promptly through our careers portal to be considered for this exciting opportunity. For more information about