Hays’ Post

Hello #LinkedIn I'm #Hiring. Let me know If you are interested. #Jobtile: #TechnicalDataAnalyst #Location: #Mounitainview, #Ca #Onsite #Backfill #Required: 9 yrs Quantitative Data Analysis is preferred Advanced #SQL skills to get the data you need from a #Datawarehouse and perform #Datasegmentation and aggregation from scratch.  Strong with #TDA and #SQL coding #Dataquery and data processing tools/systems (e.g., #relational, #NoSQL, #streamprocessing)  Familiarity with #AWS (#Redshift, #Athena, and #AWScoreconcepts)  Familiarity with #Datamodeling Familiarity in analytical and data modeling tools, such as #Python, #R, or #PyCharm   Inquisitive, curious, and bias towards learning and continuous improvement  Ability to grasp quickly and get up to speed on instrumentation, #clickstreamdata, #Dataarchitecture, and complex business system interactions such as #Salesforce, #AmazonConnect, #EWFM preferred Reach out to me chanikya.k@fionasolutions.com DHEE RAJDaniel DSAI TEJASk HameedaJessica IKunal Goud GMohith MalepatiFiona Solutions #LinkedIn #hiring #benchsales #c2c #w2

I'm Harshita, and I'm actively seeking a new opportunity as a Data Engineer. With over 8 years of experience in the field, In my diverse journey, I've made impactful contributions across Healthcare, Retail, and Insurance domains.Proficient in Cloud technologies and well-versed in Big Data platforms, I've navigated complex landscapes, optimizing data pipelines, and turning data into actionable insights.. My expertise spans the entire data lifecycle, from conception to implementation. Whether it's designing and deploying multi-tiered applications on AWS, configuring Spark jobs for optimal performance, or developing real-time customer engagement platforms, I've consistently delivered excellence and  I've had the privilege of being a part of migrating applications from on-premises to Azure, leveraging Azure Databricks for efficient data processing. Currently, I'm looking for C2C/C2H roles at the moment. If you're interested in learning more about my experience and how I can contribute to your team, I'd love to connect and have a conversation. Feel free to reach out to me at +1 480-409-8695 or mharshita356@gmail.com Thank you for considering me, and I look forward to the possibilities ahead. NOTE: Open FOR  DAY1 ONSITE #DataEngineeringJobs #BigDataJobs #DataJobs #C2CJobs #C2HJobs #HybridWork #RemoteJobs #OnsiteOpportunities #JobSearchTech #DataAnalyticsRoles #TechJobSeekers #OpenForNewOpportunities #BigDataCareer #JobSearch2024 #cloud #awsdataengineer #azuredataengineer #azurecloud #awscloud #sql #scala #apachespark #hadoop #connectwithme

Greetings, LinkedIn Community! I hope this message finds you thriving and in good spirits. I'm Aswith , a seasoned Data Engineer with a rich tapestry of over a decade's worth of experience in the field. My journey in the realm of data engineering has been marked by a deep dive into Big Data technologies, where I've navigated and conquered challenges with AWS, Azure, and GCP at the forefront. My forte lies in architecting robust data pipelines and orchestrating seamless data migrations to cloud environments. Across industries  spanning healthcare, insurance, and banking, I've had the privilege of leaving my mark through significant contributions. Currently, I'm on the lookout for new opportunities in Data Engineering on a C2C/C2H basis. If your organization is on the lookout for a dynamic professional to drive data initiatives forward, or if you simply have valuable insights to share, I'd love to connect and explore synergies. Feel free to reach out to me at paswith797@gmail.com or 8722402068. Your time and consideration are greatly appreciated, and I eagerly anticipate engaging with this vibrant professional community. Warm regards, Aswith #opentowork #opportunities #career #hiring #recruitment #AWS #azurecloud #dataengineer #dataanalyst #bigdataengineer #cloudengineer #python #sqlserver #jobsusa #c2crequirement #jobalert #usajobs #contractjobs #itrecruiters #recruiters #technicalrecruiter #c2c #c2cOppurtunities #c2cjobs #c2crequirements #corptocorp #corp2corp #corp2hire #corptohire #c2h #oppurtunities #c2cvendor #c2cusajobs #c2cconsultant #c2croles #ITRecruiter #TechRecruiter #Hiring #TechJobs #JobOpportunities #ITJobs #Recruitment #TechTalent #ITIndustry #JobSeekers #TechCareer #ITNetworking #JobSearch #TechHiring #Recruiting #DataEngineer #BigData #ETL #DataProcessing #DataWarehousing #DataPipeline #ApacheSpark #Hadoop #Python #Scala #SQL #DataIntegration #DataModeling #DataArchitecture #StreamingAnalytics #BatchProcessing #DataWarehouse #ETLJobs #DataEngineeringJobs

🚀 🚀 What is Data Engineering ? 🚀 🚀 Data engineering is a critical function in today’s data-driven world, enabling organizations to harness the power of data for strategic decision-making. As a data engineer, the role involves: - Building and Automating Data Pipelines: Developing and maintaining ETL (Extract, Transform, Load) workflows to seamlessly move data from multiple sources (databases, APIs, flat files) into centralized repositories like data warehouses and data lakes.    - Optimizing Data Storage and Access: Implementing scalable data architectures using cloud platforms such as AWS, Azure, and Google Cloud. This includes designing and managing efficient databases (e.g., SQL, NoSQL) to ensure data is readily accessible and cost-effective to store.    - Ensuring Data Quality and Consistency: Establishing data governance frameworks and validation rules to ensure data accuracy, consistency, and completeness across various systems. Data engineers play a crucial role in cleaning and transforming raw data into usable formats. - Real-time Data Processing: Using tools like Apache Kafka, Apache Spark, or Flink to build systems that process data in real-time, enabling organizations to make quick, data-driven decisions and power applications like recommendation engines or fraud detection systems. - Collaboration Across Teams: Data engineers work closely with data scientists, analysts, and business stakeholders to understand data needs and ensure that the infrastructure supports their analytical and reporting requirements. - Leveraging Big Data Technologies: Working with big data technologies like Hadoop, Spark, and Data bricks to handle massive datasets and enable high-performance analytics. In summary, data engineers are the architects and builders behind the scenes, ensuring that the right data is available, secure, and ready to be analyzed for driving business insights. With expertise in cloud platforms, big data, and automation, data engineering is essential for any organization looking to stay competitive in the modern digital landscape. Please reach out to me at 1harryk3@gmail.com for my resume for challenging data engineering roles. #opentowork #c2c #corptocorp #dataengineering #dataanalytics #datascience #contractroles #ITJobs #jobs #hireme

Hello Friend's, Checkout the new requirement below and send me suitable profiles to radha@acunor.com. Position: Azure Data Engineer (Lead Experience must) Role: Remote Visa: No CPT/ OPT Experience: 12 or 12+ Years Exp Responsibilities ·       Translate functional requirements into detailed technical designs. ·       Architect robust Azure solutions to meet both functional and non-functional requirements. ·       Design, develop, and deliver data integration and provisioning interfaces using Azure Data Factory and Azure Databricks. ·       Evaluate current technologies and recommend a strategic vision for short-term and long-term goals. ·       Lead the development of data models on platforms like Azure Cosmos, SQL DW/Synapse, and Azure SQL. ·       Advocate for and implement ML Engineering and MLOps at scale on Azure Kubernetes Service (AKS). ·       Optimize platform costs by selecting the appropriate services and architecting cost-effective solutions. ·       Implement Azure DevOps practices and Continuous Integration/Continuous Deployment (CI/CD) processes. ·        Ensure critical systems are monitored with effective logging for alerts.   Required Qualifications   ·       6-10 years of software development experience. ·       Experience translating complex analytical requirements into technical designs including data models, ETLs, and dashboards/reports. ·       Strong background in deploying dashboards and analytics solutions on both relational and non-relational databases. ·       Experience with Dbt Core or Dbt Cloud, and Data Vault 2.0 implementations using the automate_dv package. ·       Expertise in various computing paradigms in databases such as In-Memory, Distributed, and Massively Parallel Processing. ·       Proficient in continuous integration, static code analysis, and test-driven development. ·       Excellent analytical and problem-solving skills. ·       Strong verbal and written communication skills. ·       Good to Have ·       Familiarity with APIs and experience working on them. ·       Successful delivery of change management initiatives to drive data platform adoption across the enterprise.   Good to Have ·       Familiarity with APIs and experience working on them. ·       Successful delivery of change management initiatives to drive data platform adoption across the enterprise. #AzureDataEngineer #RemoteWork #DataEngineering #AzureSolutions #AzureDataFactory #AzureDatabricks #DataIntegration #DataModeling #MLops #AzureKubernetes #AzureDevOps #CICD #DataAnalytics #TechJobs #SoftwareDevelopment #CloudComputing #TechCareers #DataArchitecture #AzureSQL #AzureCosmosDB #SQLDW #DataVault #APIs #ChangeManagement #DevOps #CloudEngineering #DataSolutions #TechHiring #JobOpening #HiringNow #Opentowork. Venu Madhava PKISHORE KUMAR MChandrababu AtturuShanawaz ShaikSyed Thameed MohiuddinSai KumarAmulaya DiviHelen Mouni   Thanks, Radha