Manager | AWS Data Engineering | Pune | Engineering

Manager | AWS Data Engineering | Pune | Engineering Job requisition ID : 104631 Location : Bengaluru Entity : Deloitte Touche Tohmatsu India LLP The Team Deloittes Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Roles & Responsibilies: Good Understanding of Cloud, Hadoop and DW concepts. Hands on experience in Pyspark and strong knowledge on Dataframes, RDD and SparkSQL Hands on experience in Pyspark performance optimization techniques. Hands on Experience in developing, testing and maintaining applications on AWS Cloud. Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena, Event Bridge) Design and implement scalable and efficient data transformation/storage solutions with open table formats such as DELTA, Iceberg, Hudi. Experience in using DBT (Data Build Tool) with snowflake/Athena/Glue for ELT pipeline development Experience in Writing advanced SQL and PL SQL programs. Hands On Experience for building reusable components using Snowflake and AWS Tools/Technology DevOps & CI/CD for Data Experience using GitLab Actions or similar tools for version control, CI/CD, and infrastructure-as-code for data pipelines. Additional good to have Exposure to data governance or lineage tools such as Immuta and Alation is added advantage. Experience in using Orchestration tools such as Apache Airflow or Snowflake Tasks is added advantage. Knowledge on Ab-initio ETL tool is a plus Skill Set - Pyspark, SQL, ETL, AWS,Glue, Unix, DW conceptPyspark, SQL, ETL, AWS,Glue, Unix, DW concept Behavioural & Professional Skills Ability to work independently with minimal supervision Strong problem-solving and debugging skills Effective communication with technical and non-technical stakeholders Experience working in Agile/Scrum environments Ownership mindset and production-first approach Acts as a technical expert and individual contributor Owns solution delivery end-to-end Drives best practices and mentors junior engineers Influences design and architecture decisions Success Metrics Ontime, onbudget program delivery Client satisfaction (CSAT / NPS) Revenue growth and margin improvement Reduced escalations and improved delivery stability Strong renewal and account growth performance Proficiency in English is required . Location and Way of Working: Base location: Pune/ Hybrid