AWS Data Engineer

3 days ago

Bengaluru, India Talent Advisor Full time

Description : We are seeking a AWS-Data Engineer with strong experience across the entire Architecting and consulting on cloud data stacks. The ideal candidate should have extensive experience in Architecting and consulting with data pipelines (ELT/ETL), data warehousing and dimensional modeling, and curation of data sets for Data Scientists and Business Intelligence users. Experience in Architecting Data Lake. This candidate should also have excellent problem-solving ability dealing with large volumes of data and various data sources while able to work with clients team and consult them ensuring a scalable system.Key Responsibilities :- Excellent communication skills working with client and extending teams- Should be able architect, suggest and work with various stakeholders to build the right Data Stack on AWS- Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools, and big data technologies.- Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems.- Design, Build, and Operate large, complex data lakes that meet functional / non-functional business requirements.- Optimize various data types of ingestion, storage, processing, and retrieval from near real-time events, and IoT, to unstructured data as images, audio, video, and documents, and in between.- Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development, and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.- Understand and Develop AI/ML models using AWS AI/ML services (e.g., Sage Maker, Rekognition, Comprehend) and collaborate with data scientists and engineers to implement machine learning : - 5+ years of experience in a Data Engineer role in a cloud-native eco-system.- Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field.- Expertise in working experience in AWS Glue ETL, Redshift, Step Function, Athena- Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Spark, Spark Experience in Lake Formation- Orchestration, maintain, and enhance models for SDLC using CI/CD pipelines in AWS.- Experience in Relational and NoSQL databases, such as MySQL or Postgres and DynamoDB.- Functional and scripting languages : Python, Advanced SQL.- Experience building and optimizing big data pipelines, architectures, and data sets. (ref:hirist.tech)

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