Expert Cloud Data Engineer - (AWS/Python/Pyspark/Kafka/SQL)

Job Description Role Expert Cloud Data Engineer Location Pune/Chennai Experience: 9 to 12 years and above. What awaits you/ Job Profile You will lead strategic data engineering initiatives, ensuring that cloud data solutions align with business objectives. You will oversee large-scale projects, mentor teams, and drive innovation in cloud-based data engineering. Key Responsibilities: Architect and implement enterprise-level data solutions that are scalable and secure. Lead cross-functional teams to execute large-scale data projects. Develop data governance strategies and lifecycle management best practices. Explore and integrate cutting-edge cloud and AI technologies to enhance data capabilities. Mentor junior and senior engineers, fostering a culture of technical excellence. Conduct high-level data analysis and make strategic recommendations. Drive cost optimization and performance tuning across cloud-based data platforms. What should you bring along 8+ years of experience in data engineering, AWS Cloud Architecture, and DevOps. Strong understanding of data security, compliance, and governance in cloud environments. Ability to evaluate and implement emerging technologies in data engineering. Excellent knowledge of Terraform and GitHub Actions. Experienced in being in the lead of a feature team. Must have technical skill Advanced Python, PySpark, SQL, Java/Scala (preferred) AWS (advanced expertise in Glue, Redshift, Athena, Kinesis, EMR), Cloud Architect Certification Kafka, Flink, Spark Streaming Good to have technical skills Terraform, AWS CloudFormation GitHub Actions, Jenkins, Kubernetes Integration of ML models into cloud data pipelines Data Governance & Security: Role-based access control (RBAC), encryption, compliance frameworks