Data Engineer

Job Description

Job Description: We are seeking a highly motivated and skilled Data Engineer with a strong background in building and maintaining data pipelines. The ideal candidate will have experience working with Python , ETL processes , SQL , and Databricks to support our clients data infrastructure and analytics needs. Key Responsibilities: Design, build, and maintain scalable and efficient ETL pipelines Develop robust data workflows using Databricks and cloud-based data platforms Write complex SQL queries for data extraction, transformation, and reporting Work with structured and semi-structured data, ensuring data quality and integrity Collaborate with data analysts, scientists, and other engineering teams to deliver high-quality data solutions Optimize data processes for performance, reliability, and scalability Required Skills: Minimum 3 years of experience in Data Engineering Proficiency in Python for data processing and automation Strong hands-on experience in ETL development Advanced SQL skills for querying and managing relational databases Experience working with Databricks (Spark/PySpark) for big data processing Familiarity with version control tools like Git Experience with cloud platforms (e.g., AWS , Azure , or GCP ) is a plus Preferred Skills: Knowledge of data modeling , data warehousing , and performance tuning Exposure to tools like Airflow , Kafka , or other orchestration frameworks Understanding of data governance and security best practices