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Data Engineer – Airflow | Python | Databricks
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Location: Chennai, India (Onsite initially, Remote flexibility later)Work Days: Monday to FridayExperience: 4-7 yearsClient: Leading Life Sciences Company – Specialized in the Pharmaceutical IndustryJob Description: We are seeking a skilled Data Engineer with expertise in Apache Airflow , Python , and cloud-based data platforms to support our client, a global leader in the pharmaceutical and life sciences industry . This role will be based onsite in Chennai initially, with the potential to transition to remote work based on project needs.You will be responsible for building and managing reliable data pipelines and supporting data infrastructure critical to analytics and decision-making processes in a highly regulated environment.Key Responsibilities: Develop and manage data pipelines and ETL workflows using Apache Airflow .Write clean, efficient code using Python for data ingestion, transformation, and automation.Work with Databricks , DBT , and PySpark to implement scalable data processing.Collaborate to understand data requirements and deliver solutions.Monitor and troubleshoot data workflows to ensure reliability and performance.Document processes and follow version control best practices.Required Skills: 4–7 years of experience as a Data Engineer or in a related data-focused role.Strong proficiency in Apache Airflow , Python , and SQL .Hands-on experience with Databricks , DBT , and PySpark .Experience working with cloud platforms such as Azure , AWS , or GCP .Understanding of data modeling, data lake/lakehouse concepts, and performance tuning.Strong communication and problem-solving skills.
