Job
Description
Responsibilities Lead a team of data engineers, providing technical mentorship, performance management, and career development guidance Design and oversee implementation of modern data architecture leveraging cloud platforms ( AWS, Azure, GCP ) and industry-leading data platforms (Databricks, Snowflake, Microsoft Fabric) Establish data engineering best practices, coding standards, and technical documentation processes Develop and execute data platform roadmaps aligned with business objectives and technical innovation Optimize data pipelines for performance, reliability, and cost-effectiveness Collaborate with data science, analytics, and business teams to understand requirements and deliver tailored data solutions Drive adoption of DevOps and DataOps practices, including CI/CD, automated testing etc. Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field. 12+ years of experience in data engineering roles with at least 3 years in a leadership position Expert knowledge of big data technologies (Hadoop ecosystem) and modern data processing frameworks (Apache Spark, Kafka, Airflow) Extensive experience with cloud platforms (AWS, Azure, GCP) and cloud-native data services Hands-on experience with industry-leading data platforms such as Databricks, Snowflake, and Microsoft Fabric Strong background in both relational (PostgreSQL, MySQL) and NoSQL (MongoDB) database systems Experience implementing and managing data monitoring solutions (Grafana, Ganglia, etc.) Proven track record of implementing automated testing frameworks for data pipelines and applications Knowledge of AI/ML technologies and how they integrate with data platforms Excellent understanding of data modelling, ETL processes, and data warehousing concepts Outstanding leadership, communication, and project management skills If interested plz contact Ramya 9513487487, 9342164917
