Data Engineer

Role & Responsibilities • Design, develop, and maintain scalable data pipelines and architectures to support analytical and operational processes. • Collaborate with data analysts and scientists to implement data solutions that enable advanced analytics and reporting. • Optimize data flows and queries for high performance and efficiency across cloud and on-premise environments. • Build and manage data models, data sets, and repositories ensuring data integrity and security. • Implement ETL processes using modern tools and frameworks to automate data ingestion and transformation. • Monitor system performance, troubleshoot issues, and implement improvements to enhance reliability. Skills & Qualifications • Must-Have • Proficiency in Python and SQL • Experience with Spark, Kafka, and other big data technologies • Hands-on experience with cloud platforms, preferably AWS • Strong understanding of ETL pipeline development and data warehousing concepts • Excellent problem-solving and communication skills • Preferred • Knowledge of data governance and security practices • Experience with containerization tools like Docker or Kubernetes • Familiarity with machine learning data workflows Benefits & Culture Highlights • Opportunity to work with cutting-edge data technologies in a collaborative environment • Supportive culture fostering innovation and continuous learning • Competitive compensation and benefits package Skills: spark,sql,kafka,python,aws