Data Engineer

ob SummaryWe are looking for an experienced Data Engineer with 7+ years of hands-on experience in designing, developing, and managing scalable data pipelines and enterprise data platforms. The candidate should have strong expertise in big data technologies, cloud platforms, ETL development, and database optimization. Key Responsibilities• Design, build, and maintain scalable ETL/ELT data pipelines. • Develop and optimize data architectures, data lakes, and data warehouses. • Work with structured and unstructured data from multiple sources. • Implement data integration solutions using modern big data technologies. • Collaborate with Data Analysts, Data Scientists, and Business Teams for data requirements. • Ensure data quality, integrity, security, and governance standards. • Optimize SQL queries, database performance, and large-scale data processing. • Automate data workflows and monitoring processes. • Troubleshoot data-related production issues and provide long-term solutions. • Support cloud migration and enterprise analytics initiatives. Required Skills & Technologies• Strong experience in SQL and database management. • Hands-on experience with Python, Scala, or Java. • Expertise in ETL tools and data pipeline development. • Experience with Big Data technologies:HadoopSparkKafkaHiveAirflow • Experience with cloud platforms:AWS / Azure / GCP • Knowledge of:Data WarehousingData ModelingData Lake ArchitectureAPI Integration • Experience with CI/CD and DevOps practices is an advantage. • Familiarity with Power BI, Tableau, or other BI tools is preferred. Requirements• Bachelor’s degree in Computer Science, IT, Engineering, or related field. • Minimum 10 years of experience in Data Engineering or related domain. • Strong analytical and problem-solving skills. • Excellent communication and stakeholder management skills. • Ability to work in Agile/Scrum environments. Preferred Certifications• AWS Certified Data Analytics • Microsoft Azure Data Engineer Associate • Google Professional Data Engineer