September 20
• Expert in building and deploying AWS-based Data Platforms. • Lead design, architecture, and implementation of large-scale data solutions. • Collaborate with cross-functional teams to deliver innovative data platforms.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS. • Proven experience in designing and implementing large-scale data engineering solutions on AWS. • Experience with Databricks, GCP, or Azure solutions is required. • Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS. • Proficient in programming languages like Python, SQL, and Scala. • Experience with data warehousing, ETL processes, and real-time data streaming. • Familiarity with open-source technologies and tools in data engineering. • AWS Certified Solutions Architect – Professional (or similar) is required. • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders. • Strong leadership and project management skills. • Ability to work collaboratively in a cross-functional team environment.
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