Prime Vector Consulting Services LLC’s Post

Hey Network, 🤑 This post is a bit out of my scope but we are looking for a highly qualified data engineer. Must have GCP and Databricks experience, please share with your network, repost, like and interact with this post. If you think you're a match for this role please reach out to myself or the email found at the bottom of this post. #data #dataengineer #GCP #Databricks

Hey LinkedIn, Quick update: My job search as a GCP Data Engineer feels a bit like shouting into the void—lots of effort, not much echo. 📣😅 I’m still here, still applying, and still hoping for that magical reply. If you have any leads, advice, or even a virtual high-five, I’d love to hear from you! 🙌 Thanks for any support, and keep the good vibes coming! #JobSearch #GCPDataEngineer #Networking #StillInTheGame

Navigating Your Career Path: GCP Data Engineer vs. Database Engineer Are you passionate about working with data and eager to carve out a niche in the ever-evolving world of technology? 🌐💼 In today's data-driven landscape, the roles of a GCP Data Engineer and a Database Engineer have gained significant prominence. But which career path is right for you? 🤔 Let’s dive deep into the key distinctions and career prospects of these two exciting roles. In this blog post, we'll explore: 📊 GCP Data Engineer 🔗 Database Engineer 🛤️ Career Trajectories 💡 Skills and Certifications 🌟 Making the Right Choice This comparison will provide you with the clarity and guidance you need to make a choice that aligns with your aspirations. More details here 👉 https://lnkd.in/g2ScaXAX #dataengineering #careerpath #techjobs #gcp #databaseengineer #careeradvice #data #database #googlecloud

Explore the highest paying tech jobs for 2024! From Cloud Solutions Architect to Data Scientist, find out where the opportunities lie. Follow Tekholic Consulting Services for more insights." #TechJobs #HighPayingJobs #CloudSolutionsArchitect #BlockchainEngineer #CloudSecurityEngineer #CloudEngineer #DataScientist #TechCareers #JobTrends #2024Jobs #TechIndustry

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

Dear Fellow Professional, Looking for GCP Data Engineer who can work onsite at Dallas, TX. Pls share your resume to Pradeep@mericaninc.com if you are open to relocate and looking for a good opportunity. * Migrate the historical data from Teradata data warehouse to GCP Big Query using Big Query Transfer Service * Design and implement data pipelines using GCP services such as Dataflow, Dataproc, and Pub/Sub * Develop and maintain data ingestion and transformation processes using tools like Apache Beam and Apache Spark * Create and manage data storage solutions using GCP services such as BigQuery, Cloud Storage, and Cloud SQL * Monitor and troubleshoot data pipelines and storage solutions using Google Cloud Operations and Cloud Monitoring * Collaborate with Business stakeholders and analysts to understand their data requirements and provide solutions to meet their needs * Automate data processing tasks using Python * Participate in code reviews and contribute to the development of best practices for data engineering on GCP * Stay up-to-date with the latest GCP services and features and evaluate their potential use in the organization's data infrastructure. Skills: GCP - Professional Data Engineer, Google BigQuery, Hadoop Big Data Stack, UNIX Shell Scripting, Agile Methodology #GCP #c2c #Dallas #cloud #Dataengineering

Any hands-on senior cloud #data engineers splitting their time between data engineering and data architecting? Are you an expert in #SQL, a wizard at building efficient automated pipelines, and an artist in crafting well-defined data models? If this is you or someone in your network, comment below! Would love to connect with you. #hiring #amazonhiring #dataengineerjobs #datamodeling #dataarchitect

Seeking Exciting Opportunities in Data Engineering! With over 5 years of hands-on experience in data engineering, I'm ready to take on new challenges. My expertise spans cloud platforms like Azure and AWS, and I'm well-versed in cutting-edge technologies such as Big Data, Python, SQL, and Snowflake. Whether it's a full-time role or a contract position, I'm eager to contribute my skills and drive to your team. Are you aware of any openings that align with my skillset? Let's connect and explore how we can collaborate! #DataEngineer #Azure #AWS #BigData #SQL #Snowflake #JobSearch"

Hello #folks Having an urgent requirement of AWS Data Engineer with one of our prime Client. Role-Sr. AWS Data Engineer Location-Houston TX(Onsite) Contract   Job Description ·        9+ years of strong hands-on experience working in data warehousing, data engineering and dimension modelling. ·        Should be able to work independently with minimal guidance, with excellent problem solving and analytical skills.   Required Skills ·        Experience building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka ·        Strong Python development experience with proficiency in Spark or Pyspark and in using APIs ·        Strong in writing SQL queries and performance tuning in AWS Redshift and other industry leading RDMS such MS SQL Server, Postgres ·        Proficient working with AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS ·        Familiar with how IAM Roles and Policies work   Preferred Skills ·        Worked in workflow management tools such as Airflow ·        Familiar with infrastructure coding such as Cloud Formation ·        Worked in CI/CD pipeline and agile methodologies. Do let me know if you are avilable and intrested or help this post reach out to someone who could be a great fit for this Opportunity. I am avilable on 609-897-9670 Ext. 2216 or BishnuK@sysmind.com #awsdataengineering #datascience #bigdata #dataengineer #dataanalytics #bigdataanalytics #data #python #pythonprogramming #dataanalysis #datavisualization #businessintelligence #datawarehouse #sql #datasciencetraining #bi #bigdataanalysis #technology #datascientist #datamanagement #programminglife #pythonlearning

As a #dataengineer / #softwareengineer in this current #jobmarket has been an interesting one. I have developed some insights that should have some light shined on. 1) We do not need actual #snowflake or #databricks experience to work with those systems. As long as a candidate has suitable experience with other #datawarehousing technology: #redshift, #bigquery or #azure and understand the fundamentals we can easily transition to Snowflake or DataBricks. 2) Technology between the main Cloud stacks are similar just with different terminology: #lambda -> #cloudfunctions, #sqs -> #pubsub, #s3 -> #gcs, etc. engineers can easily #adapt to a new system. When I joined Mythical Games it was my first interaction with GCP; as soon as I knew the terminology I knew everything I needed to do. 3) Scale can be a real problem and many teams do not design or understand how to handle when getting to some extreme levels of scale. As someone who recently learned this dealing going from multiple Terabytes an hour does not compare to Petabytes an hour. As not every role will cross certain scale thresholds we all still need to understand how to re-architect and anticipate those potential levels. Now these thresholds could cause an entire rethinking of pipelines but a good #engineering team can handle it. 4) Within #data the blame game needs to stop or shoved downstream as a long term solution. This only adds processing or data cleansing. IF a fault from upstream data is found it is the job of the team to work with stakeholders to fix the issue now and then with the upstream team for a more long term solution. 5- Data/ #analytics is not cheap… I have come to think of it as an investment as alternative energy is. Large upfront costs but in the long term pays for itself. The #insights and gains that can be found from data already collected is immense. Now there does need to be limits to data spend there still needs to be investment into it. That is my opinion and what I have seen during this past 9 months while looking for my next role. #jobsearch #lookingforwork #notgivingup