3 Codebuild Jobs

Looking for an overall experience of 15 years with a min 1.5 to 2 years experience in Palantir Location : Hyderabad( 5 days work from office) Role : Palantir Tech Lead Mandatory Skills: Python, Pyspark and Palantir Need a strong hands on lead engineer. Onsite in Hyderabad. Budget : 32LPA-36LPA Notice period : Immediate to 30 days Tasks and Responsibilities: Leads data engineering activities on moderate to complex data and analytics-centric problems which have broad impact and require in-depth analysis to obtain desired results; assemble, enhance, maintain, and optimize current, enable cost savings and meet individual project or enterprise maturity objectives. advanced working knowledge of SQL, Python, and PySpark Experience using tools such as: Git/Bitbucket, Jenkins/CodeBuild, CodePipeline Experience with platform monitoring and alerts tools Work closely with Subject Matter Experts (SMEs) to design and develop Foundry front end applications with the ontology (data model) and data pipelines supporting the applications Implement data transformations to derive new datasets or create Foundry Ontology Objects necessary for business applications Implement operational applications using Foundry Tools (Workshop, Map, and/or Slate) Actively participate in agile/scrum ceremonies (stand ups, planning, retrospectives, etc.) Create and maintain documentation describing data catalog and data objects Maintain applications as usage grows and requirements change Promote a continuous improvement mindset by engaging in after action reviews and sharing learnings Use communication skills, especially for explaining technical concepts to nontechnical business leader

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Job Overview The AWS Architect with Data Engineering Skills will be responsible for designing, implementing, and managing scalable, robust, and secure cloud infrastructure and data solutions on AWS. This role requires a deep understanding of AWS services, data engineering best practices, and the ability to translate business requirements into effective technical solutions. Key Responsibilities Architecture Design: Design and architect scalable, reliable, and secure AWS cloud infrastructure. Develop and maintain architecture diagrams, documentation, and standards. Data Engineering Design and implement ETL pipelines using AWS services such as Glue, Lambda, and Step Functions. Build and manage data lakes and data warehouses using AWS services like S3, Redshift, and Athena. Ensure data quality, data governance, and data security across all data platforms. AWS Services Management Utilize a wide range of AWS services (EC2, S3, RDS, Lambda, DynamoDB, etc.) to support various workloads and applications. Implement and manage CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy. Monitor and optimize the performance, cost, and security of AWS resources. Collaboration And Communication Work closely with cross-functional teams including software developers, data scientists, and business stakeholders. Provide technical guidance and mentorship to team members on best practices in AWS and data engineering. Security And Compliance Ensure that all cloud solutions follow security best practices and comply with industry standards and regulations. Implement and manage IAM policies, roles, and access controls. Innovation And Improvement Stay up to date with the latest AWS services, features, and best practices. Continuously evaluate and improve existing systems, processes, and architectures. (ref:hirist.tech),

Job Title: AWS Engineer Experience: 4 - 8 Years Location: Bengaluru (Hybrid 2- 3 Days Onsite per Week) Employment Type: Full-Time Notice Period: Only Immediate to 15 Days Joiners Preferred Job Description: We are looking for an experienced AWS Engineer to join our dynamic data engineering team. The ideal candidate will have hands-on experience building and maintaining robust, scalable data pipelines and cloud-based architectures on AWS. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and EMR Collaborate with data scientists and ML engineers to operationalize machine learning models using AWS SageMaker Implement efficient data transformation and feature engineering workflows Optimize ETL/ELT processes and enforce best practices for data quality and governance Work with structured and unstructured data using Amazon Athena, DynamoDB, RDS, and similar services Build and manage CI/CD pipelines for data and ML workflows using AWS CodePipeline, CodeBuild, and Step Functions Monitor data infrastructure for performance, reliability, and cost-effectiveness Ensure data security and compliance with organizational and regulatory standards Required Skills: Strong experience with AWS data and ML services Solid knowledge of ETL/ELT frameworks and data modeling Proficiency in Python, SQL, and scripting for data engineering Experience with CI/CD and DevOps practices on AWS Good understanding of data governance and compliance standards Excellent collaboration and problem-solving skills