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Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.
Carson City, Nevada30+ days ago
This role will work within a collaborative remote team, partnering with data engineers, analysts, and architects to assist in building reliable data workflows and integrations on an agile cycle while gaining hands-on experience in cloud-based data engineering and supporting Stride's mission to empower online education for students across the United States. Coursework or project experience involving data pipelines, APIs, or cloud-based data tools; Familiarity with version control systems such as Git; Exposure to data warehousing concepts (e.g., Snowflake, Redshift, BigQuery); Interest in education technology and data-driven solutions.
The Consultant must be confident in working with technical resources, analysts, project sponsors, and executive levels to provide excellent service delivery and communication which includes product deliverables, conducting conference calls/meetings, consulting process reviews/workshops, and briefings. The ideal candidate has the demonstrated ability to ensure successful service delivery and customer success as well as third party DLP solutions (Microsoft + Symantec DLP offerings) to support migrating legacy solutions to the Proofpoint Data Security Posture Platform.
Las Vegas, NV30+ days ago
THE JOB: The Lead Data Modeler is responsible for defining, governing, and evolving a scalable enterprise data model that supports all lines of business, playing a key role in advancing data products within MGM's modern cloud data platform. This position translates complex business requirements into flexible, extensible data models and applies best practices to design and optimize the Gold layer, ensuring high-quality, business-ready data assets.
You will design, implement and operate technology and process solutions to reduce data risks, develop and lead the implementation of encryption strategies to protect sensitive data, manage the lifecycle of PKI systems, ensure robust and scalable certificate management processes are in place, monitor and maintain the health of certificate infrastructures to prevent downtime and security breaches, and assist with developing requirements, evaluating vendor solutions, architecting, implementing and operating data protection solutions. You will be responsible to lead, manage, mature and provide lights on support for several cyber data protection services including, but not limited to TLS/SSL Certificate Lifecycle Management Service, Encryption Key Management Service, Data Classification and Rights Management Service, Code Signing Service, Public Key Infrastructure Service, Hard Drive Encryption Key Recovery Management Service, Cyber Security Engineering and Data Protection Consultation Support.
li>Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes. You will support a Data & Analytics Foundry across numerous business product teams (scaled program with ~235 onshore/offshore resources), building reliable pipelines and curated datasets for analytics and downstream consumption.
p style="text-align:inherit">Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Applyshare linkCopy linkemailEmail a friendinfo_outlineXNote By applying to this position you will have an opportunity to share your preferred working location from the following Reston VA USA Alameda CA USA New Albany OH USA The Dalles OR USA New York NY USA Pryor Creek OK 74361 USA Reno NV USA.Minimum qualificationsBachelors degree in a technical field or equivalent practical experience. You will partner with the Program Management Office PMO and Extended Reservation EXR teams and directly with Data Center Delivery and Engineering DCDE leadership internal partners internal stakeholders and vendors to ensure improvement initiatives are supported.