27 set - Monza
Ntt Data
pAs an AWS Data Architect at NTT DATA, you will design and implement data pipelines on AWS, aligning with business analysts and solution architects to meet data objectives. You bridge Data Science and Data Engineering, shaping scalable data platforms and performant data lakes. You’ll lead architecture choices, guide tradeoffs in workshops, and mentor peers to uphold coding best practices. This role offers impact across client projects and the chance to influence cloud data strategies at scale. /pulliDesign and maintain data pipeline architectures on AWS using native services (Glue, Lambda) or data management tools (Talend, Informatica) /liliModel and optimize data schemas on AWS data stores (Redshift, DynamoDB, RDS, S3) /liliArchitect operations and perform performance engineering for large-scale data lakes in production /liliLead client design workshops, providing recommendations and tradeoffs for solution options /liliMentor engineers in coding best practices and problem solving /liliCloud-native experience in GCP, AWS,
or Azure; 5+ years on AWS preferred /liliExperience with Big Data architectures and both cloud and on-premise contexts /liliAWS infrastructure and networking experience /liliAWS collection services: Kinesis, Kafka, DMS /liliAWS storage services: S3, RDS, Redshift, DynamoDB /liliPOC delivery experience to address business needs /liliOn-premises to cloud migration experience /liliMonitoring distributed infra with AWS tools or open-source tools (CloudWatch, Prometheus, ELK) /liliProficiency in Java, Scala, Python, and shell scripting /liliExperience with Apache Spark, Databricks, Azure Data Factory, Azure Synapse /liliAWS Certifications: Solutions Architect and/or Data Analytics /liliAgile Methodology and Kanban /liliSQL knowledge /liliSource code management: AWS CodeCommit or GitHub /liliCross-functional collaboration /liliProblem solving /liliAWS Glue /liliAWS Lambda /liliRedshift /li /ul #J-18808-Ljbffr
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