🔔 #nowhiring - Data Engineer (m/f/d) | #Lisbon (Hybrid) We are looking for a Data Engineer with solid know-how in data processing tools (Talend) and Cloud environments (AWS). Are you up to a new challenge? 🌐 Apply here: https://zurl.co/EkYb #dataengineer #aws #talend
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#hiringimmediately #dataengineer #datalakeconstruction #aws #redshift #s3 #lambda #glue #it #informationtechnology #chennai #chennaijobseekers #chennaihiring As a Data Engineer, you will be a key player in designing and implementing a robust data infrastructure on AWS, with a focus redshift and S3 data lake formation. Your expertise will be pivotal in migrating our on-premises data systems to the cloud, ensuring scalability, security, and efficiency. Responsibilities: 1. Data Lake Construction: Lead the development of a secure and scalable data warehouse and data lake infrastructure on AWS Redshift and S3, tailored to the unique needs of data. 2. Analytical System Development: Collaborate with cross-functional teams to create analytical systems that leverage the power of the AWS data lake and data warehouse. Enable efficient data processing, analysis, and reporting. 3. Migration to AWS: Drive the seamless migration from on-premises data systems to the AWS cloud, ensuring minimal disruption and data integrity. 4. Data Modeling and Architecture: Design and implement data models aligned with data requirements. Define and maintain data architecture standards to uphold performance and integrity. 5. Data Security and Compliance: Implement and enforce robust security measures to protect sensitive data in the AWS environment. Ensure compliance with industry regulations and data protection standards. 6. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs. Collaborate with the IT team to integrate data engineering processes into broader IT strategy. 7. Performance Optimization: Continuously monitor and optimize the performance of the data warehouse, data lake and analytical systems. Implement improvements to enhance data processing speed and system efficiency. 8. Documentation: Create and maintain comprehensive documentation for data engineering processes, data flows, and system configurations, ensuring accessibility to relevant teams. Qualifications: · Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. · Proven experience as a Data Engineer, with a focus on cloud platforms, especially AWS. · Strong proficiency in AWS services, particularly Redshift, S3, Lambda, Glue, and related tools. · Experience with data migration projects, particularly in large data settings. · Proficiency in data modeling, ETL processes, and database design.
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#hiring *Data Engineer (Realtime) - 100% Remote - 6+ months - Start June*, *Germany*, contract #opentowork #jobs #jobseekers #careers #ITCommunications #freelancegermany #freelancerjobsgermany #freelanceworkgermany #remoteworkgermany #freelancedevelopergermany *Apply*: https://lnkd.in/dPQnZC99 Scope:In the context of developing a modular control center system, the data team provides systems and solutions to handle and provide master data as well as Real Time data from the clients electrical grid. The provided products of the product line include generic services and specific data products that are used by services in other modules and are enabler for user facing products like monitoring or control. Further, the whole product cluster uses a CIM-based Datamodelling approach and the data team supports other teams to provide services for monitoring and control of the power grid.Tasks/Activity Description:* Develop, maintain and use deployment pipelines (following infrastructure as code paradigm)* Producing clean, efficient code based on specifications and guidelines* Professionally maintain all software and create updates regularly to address customer and company concerns* Analyze and test programs and products before formal launch* Troubleshoot coding problems quickly and efficiently to ensure a productive workplace* Actively seek ways to improve business software processes and interactions* Preparation of training materials and delivery of training to other project team members in the use of software applicationsGoal* Design, develop, and maintain Real Time data pipelines and streaming applications.* Architect and implement streaming data ingestion processes from various sources, ensuring reliability, scalability, and low-latency processing.* Optimize and tune performance of Real Time data processing systems for efficiency and throughput.* Implement monitoring, alerting, and logging solutions to ensure the health and reliability of Real Time data infrastructure.Offer requirements/profile requirements* 5 years of experience in data engineering, with a focus on Real Time data processing.* Proficiency in programming languages such as Python, Java, or Scala.* Strong experience with Real Time data processing frameworks such as Apache Kafka, Apache Flink, or Apache Spark Streaming.* Solid understanding of distributed computing principles and microservices architecture.* Experience with on-premise Kubernetes platforms as well as with cloud and platforms such as AWS, GCP, or Azure.Details:* Start: June 2024* Durations: 6 months (+extension)* Capacity: 100 %/40h per week* Locations: Remote * Language: German (B2) & Englisch (C1)Telephone interviews with our customers can be arranged at short notice, with a quick decision afterwards.If you are interested in this project, or if you can recommend someone for this, please do not hesitate to contact me.
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Title : Data Engineer Location : Mclean, Virginia Experience : 6+ years A Data Engineer with AWS is responsible for designing, building, and maintaining robust and scalable data pipelines and infrastructure. They leverage AWS services to extract, transform, and load (ETL) data from various sources into data warehouses or data lakes for analysis and consumption. Key Responsibilities: Develop and maintain data pipelines using AWS services (EMR, Glue, Kinesis, Redshift, S3, etc.) Design and implement data architectures to support business requirements. Ensure data quality and integrity throughout the data lifecycle. Optimize data pipelines for performance and cost efficiency. Collaborate with data analysts and scientists to understand data needs. Required Skills: Proficiency in SQL and Python or Scala. Strong understanding of data warehousing and data lake concepts. Experience with AWS data services (EMR, Glue, Kinesis, Redshift, S3, etc.) Knowledge of data modeling and ETL processes. Ability to work with large datasets and perform data analysis. Benefits: Competitive salary & benefits Collaborative & supportive work environment Apply to careers@maessolutions.com #ITstaffing #Recruitment #TechJobs #JobOpening #Hiring #DigitalMarketing #Leadership #Innovation #CareerDevelopment #Networking #BusinessStrategy #Entrepreneurship #ProfessionalDevelopment #WorkplaceCulture #RemoteWork #ArtificialIntelligence #MachineLearning #CloudComputing #CyberSecurity #DataScience #Blockchain #IoT #AR #VR #5G #TechTrends #DigitalTransformation #FutureOfWork #NonITJobs #Sales #MarketingStrategy #ContentMarketing #BrandManagement #CustomerExperience #SocialMediaMarketing #InfluencerMarketing #StartupLife #Finance #HealthcareIT #Education #Engineering #Architecture #DesignThinking #CreativeIndustry #FashionTech #FoodTech #TravelTech #EmergingTech #TrendingNow #ViralContent #LinkedInInfluencers
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We are #hiring 1. AWS Data SRE Engineer 2. AWS Data Engineer 3. Data Modeler If you are interested, please send your profile to sathyamoorthy.duraisamy@ltimindtree.com. Also please share your network #LTIMindtree #DeliveryImpact #SolvingwithData #dataandanalytics #WeareLTIMindtree #FutureFasterTogether Srikarthick JayaramanVikram JayaprakashRukshar KhatunSourakar Chaudhuri
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How does a Data Engineer get ready for a party? He gets in-loop! 😏 Are you a Data Engineer ready to dive deep into data, craft top-notch pipelines, and turn raw information into valuable insights? If that sounds like you, we’d love to meet you! Check out the details below and get ready to join the team (and maybe even bring some of that party energy with you)! 😊 #qualysoft #data #dataengineering #team
🚀 Excited to announce a new opportunity as a Senior Data Engineer! 🧩Why Choose us: 👉International Exposure 👉Complete Business Overview 👉Career growth in International IT Development 👉Start-up mentality under the umbrella of a secure multinational 👉Great colleagues, events and activities (Golf, Hiking, Escape Room, City Hunt) 📍Locations: we are looking for colleagues from Bucharest, for a hybrid work. :) 🧩Key Requirements: 👉Strong exposure as Data Engineer on complex projects. 👉Experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse. 👉Strong experience in Python. 👉Knowledge of good data design principles, data warehousing concepts and data modelling. #team #Qualysoft #Data #Databricks #python #Azure #dataengineer #joinus #Bucharest Feel free to reach out to us directly through LinkedIn messaging for more details or to express your interest. Alternatively, you can send your resume to hr-ro@qualysoft.com or apply here: https://lnkd.in/dwfFuzju
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I help Business Leaders build Data Systems | Consulting | Data | Engineer | Product Design | Startup | Entrepreneur
𝐓𝐨 𝐀𝐥𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐌𝐚𝐧𝐚𝐠𝐞𝐫𝐬: If you had an in-house data engineer, You didn't have to manually upload the CSV files to the data warehouse. You didn't have to run metrics on your computer weekly. You could automate the data injection from the minor cloud apps. You could automatically clean the data. You could reduce the cloud cost. ...but hiring is out of the question for many companies. 💡 What if you can do all without hiring a data engineer? handoff.cloud by ANELEN is a fully-service, custom data pipeline service. 𝐃𝐌 𝐦𝐞 𝐢𝐟 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝. #dataengineering #analytics #dataanalytics #datascience #bigdata
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