<p><p><b>Job Title :</b> Data Engineer Kafka, Python, and Azure Databricks<br/><br/><b>Location :</b> Bangalore, Noida, Hyderabad (Hybrid 2 days in office per week)<br/><br/><b>Experience :</b> 5 to 8 Years<br/><br/><b>Notice Period :</b> Immediate to 15 Days (Immediate Joiners Preferred)<br/><br/><b>About the Role :</b></p><p><p><b><br/></b></p>We're looking for a seasoned Data Engineer to join our dynamic healthcare data engineering team.
You'll be instrumental in designing, developing, and managing robust and scalable data pipelines that support our critical business functions.
This role is a perfect fit for a proactive and skilled professional who thrives in a collaborative environment and has a passion for building innovative data solutions.
You'll work with cutting-edge technologies to process and analyze large volumes of healthcare data, ensuring high performance, reliability, and security.<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design and Development : Architect, build, and maintain real-time and batch data pipelines using Kafka, Azure Databricks, and Python.
You'll be responsible for the entire lifecycle, from data ingestion to processing and storage.<br/><br/>- Performance Optimization : Optimize and tune data pipelines and queries for maximum performance and efficiency.
You'll troubleshoot and resolve data pipeline issues, ensuring data quality and integrity.<br/><br/>- Collaboration : Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions that meet business needs.
You'll contribute to a culture of collaboration and continuous improvement.<br/><br/>- System Architecture : Contribute to the design and implementation of large-scale, cloud-based data solutions on the Microsoft Azure platform.<br/><br/>- Technical Leadership : Mentor junior engineers and champion best practices in data engineering, including coding standards, design patterns, and testing methodologies.<br/><br/>- Data Governance : Ensure all data solutions adhere to healthcare data standards and compliance regulations, maintaining a strong focus on data security and privacy.<br/><br/><b>Required Skills and Qualifications :</b></p><p><p><b><br/></b></p>- Experience : A minimum of 5 years of hands-on experience as a Data Engineer, with a focus on building data pipelines.<br/><br/>- Kafka : Advanced expertise in Kafka, including Kafka Streams, Kafka Connect, and Schema Registry.
You should be comfortable designing and managing Kafka topics and clusters for real-time data processing.<br/><br/>- Python : Strong programming and scripting skills in Python.
You should be proficient in using Python for data manipulation, automation, and building data-centric applications.<br/><br/>- Azure Databricks : Proven experience in building and optimizing data pipelines using Azure Databricks.<br/><br/>- PySpark : Proficiency with PySpark for distributed data processing and transformation.<br/><br/>- SQL & Data Modeling : Strong knowledge of SQL and solid experience in data modeling, including designing relational and dimensional models for large datasets.<br/><br/>- Cloud Platforms : Hands-on experience with Microsoft Azure services, specifically Azure Data Lake, Azure Synapse, and Azure Functions.<br/><br/><b>Desirable Skills :</b></p><p><p><b><br/></b></p>- Experience with other data streaming technologies like Spark Streaming or Flink.<br/><br/>- Knowledge of containerization technologies (Docker, Kubernetes).<br/><br/>- Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions).<br/><br/>- Experience in the healthcare domain and understanding of standards like HL7 or FHIR.</p><br/></p> (ref:hirist.tech)