Cloud Engineer

Must have Python/API/.Net/SQL/AWS Services. Job Summar yWe are seeking a highly skilled AWS Engineer to design, develop, and optimize large-scale data pipelines and ETL workflows on AWS. The ideal candidate will have strong expertise in AWS cloud-native data services, data modeling, and pipeline orchestration, with hands-on experience building robust and scalable data solutions for enterprise environments . Key Responsibiliti • esDesign, develop, and maintain ETL pipelines using AWS Glue, Glue Studio, and Glue Catalo • g.Ingest, transform, and load large datasets from structured and unstructured sources into AWS data lakes/warehouse • s.Work with S3, Redshift, Athena, Lambda, and Step Functions for data storage, query, and orchestratio • n.Build and optimize PySpark/Scala scripts within AWS Glue for complex transformation • s.Implement data quality checks, lineage, and monitoring across pipeline • s.Collaborate with business analysts, data scientists, and product teams to deliver reliable data solution • s.Ensure compliance with data security, governance, and regulatory requirements (BFSI preferred • ).Troubleshoot production issues and optimize pipeline performanc e. Required Qualificati • ons13+ Years of experience with at least 8+ years on AWS cloud data servic • es.Strong expertise in AWS Glue, S3, Redshift, Athena, Lambda, Step Functions, CloudWat • ch.Proficiency in PySpark, Python, SQL for ETL and data transformatio • ns.Experience in data modeling (star, snowflake, dimensional models) and performance tuni • ng.Hands-on experience with data lake/data warehouse architecture and implementati • on.Strong problem-solving skills and ability to work in Agile/Scrum environmen ts. Preferred Qualificat • ionsExperience in BFSI / Wealth Management dom • ain.AWS Certified Data Analytics – Specialty or AWS Solutions Architect certificat • ion.Familiarity with CI/CD pipelines for data engineering (CodePipeline, Jenkins, GitHub Actio • ns).Knowledge of BI/Visualization tools like Tableau, Power BI, QuickSi ght. Educ • ationBachelor’s degree in Computer Science, Information Technology, Engineering, or related f • ield.Master’s degree prefe rred.