Dev Technology Group, Inc.’s Post

Have you ever wondered what it means to be a Data Engineer and Cloud Architect? 🤔 Our Coder, Marc Vea, tells you about his journey to become a Data Engineer: his studies, experience and what he enjoys the most on the day to day. 👏 Do you want to know more about our roles and positions? Let us know in the comments! 💬👇 #SEATCODE #Coders #Careers #Jobs #Engineer

Data engineers are the unsung heroes of the tech world! Without them, we wouldn't have access to the data that drives our daily interactions with digital products and services. They work tirelessly to ensure that information is gathered, processed, and made accessible for analysis from a variety of sources, including websites, apps, and devices. Their work supports the seamless operation of the technologies we use, empowering organisations and services to make better decisions, increase productivity, and improve user experiences. Their role is essential in transforming unstructured data into insightful understandings. Let's give a shoutout to all the amazing data engineers out there! #datacenter #databricks #data #dataengineering #dataengineer #dataengineers #dataengineerjobs #dataengineershiring #c2crequirements #c2cjobs #c2cusajobs

#hiring #data #remote #1099only #iowa Please email your resume in Word format only with your valid US work visa to [email protected] 1-) Role: Data Engineer Location: Remote – Preferred local to Iowa USC highly preferred Databricks is tool used internally. Pyspark is needed. Need to develop data pipelines to ingest and transform and populate the data models created by data modeler.   2-) Role: Data Modeler Location: Remote – Preferred local to Iowa USC highly preferred Creating logical and physical data models that support business intelligence, reporting, and analytics by organizing data in a way that makes it easy to query and extract insights. Hackolade is used internally. (just couple of hour is enough to pickup this tool). Understanding the process generating data by talking to several stakeholders, learning by looking at data from sources is critical in ability to design right data model.

🎯 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝗮𝗿𝗲 𝗽𝗿𝗶𝗰𝗲𝗹𝗲𝘀𝘀 𝗽𝗲𝗼𝗽𝗹𝗲, 𝘁𝗵𝗲𝘆 𝘄𝗶𝗹𝗹 𝗻𝗲𝘃𝗲𝗿 𝗴𝗲𝘁 𝘁𝗵𝗲 𝗰𝗿𝗲𝗱𝗶𝘁 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝗵𝗮𝘃𝗲 𝗱𝗼𝗻𝗲 𝗳𝗼𝗿. Yet data scientists, data analysts, business analysts like to migrate to data engineering. here is why. I received lot of DM from Data scientists and asking how do we migrate to data engineering? how can i learn spark? Yes, because the data engineering demand soared up. more than 70% of companies was hiring data scientists is now hiring data engineers heavily. 1. If you want to know what data engineers do? then check here... https://lnkd.in/gdHsBrEA 2. the demand for data engineering is higher in 2024, explained here... https://lnkd.in/gX8W3Ee2 3. if you wanna learn data engineering? check here free road map https://lnkd.in/g9_8gtf4 4. Check here for detailed #dataengineering free resources https://lnkd.in/g59qWdi7 Follow this 4 steps, to decide why should you decide #dataengineering in 2024 rather data science... hope this is "helpful" 😊 do follow Ajay Kadiyala ✅ #datascience #datascientists #data #hiring #dataengineering #demand #hype #20thcentury

TECHSOPHY is Hiring for Big Data Engineer For More Details, Check Out at Link in Comment Follow Career Hunger for More Tips and Insights! Tag someone who needs to see this or share it with your network! Let's connect exceptional talent with exceptional opportunities. #dataengineer #bigdata #datascience

DVA is not associated with this job post. Data Engineer - USA https://lnkd.in/gqiPu4U5 Our data team builds, augments, and maintains the infrastructure that empowers teams across Amplify and our customers to make sense of and tell stories with their data. We believe strongly in teaching our teammates to serve themselves, within a safe, reliable, and agile environment. You’ll be building data systems, but also the sharing-and-learning culture so that every team uses these tools to improve their own lives, and those of our students and teachers. Impress the toughest customers around – students – by: helping teams create fun, compelling apps by using millions of data points Make life better for passionate teachers by: helping teachers understand their students by building reusable data pipelines Make life better for passionate Data Science, Governance and Analyst teams by: Developing, Automating and Maintaining a scalable and secure data platform. Implementing and managing data storage solutions (e.g., data lakes, databases). Optimizing data processing and retrieval workflows. Collaborating with data scientists and analysts to facilitate data access and utilization. Ensuring data privacy and compliance with relevant regulations. Analyzing and Improving performance and squashing tricky bugs using tools like Snowflake, Airflow, dbt, SQL, Python, Looker, Terraform, and Datadog #jobseeker #jobsearch #jobs #job #jobseekers #hiring #jobsearching #recruitment #jobhunt #career #jobvacancy #jobinterview #employment #loker #nowhiring #jobboard #jobopportunity #recruiting #jobopening #resume #jobshiring #careers #work #interview #hiringnow #jobfair #recruiter #jobhunting #vacancy #jobseeking

Job titles are changing for data engineering roles. Here’s a list: 1. Data Pipeline Engineer 2. Big Data Engineer 3. Data Architect 4. Data Warehouse Engineer 5. ETL Developer 6. Data Infrastructure Engineer 7. Data Solutions Engineer 8. Data Analyst (with engineering focus) 9. Machine Learning Engineer (with data engineering skills) 10. Analytics Engineer 11. Data Integration Engineer 12. Cloud Data Engineer 13. Data Operations Engineer 14. Data Science Engineer 15. Business Intelligence Engineer ( DE focused ) 16. Software Data Engineer 17. AI Data Engineer 18. Data Engineer Again, titles change but job descriptions are where you understand whether they are actually meant for you. What do you think?

data engineers are always underdogs when it comes to show off.. i have received many DM from Data scientists and asking how do we migrate to data engineering? how can i learn spark? data engineering demand soared up. more than 70% of companies was hiring data scientists is now hiring data engineers heavily. 1. If you want to know what data engineers do? then check here... https://lnkd.in/dccybHMF 2. the demand for data engineering is higher in 2024, explained here... https://lnkd.in/d2_XuDJY 3. if you wanna learn data engineering? check here free roadmap https://lnkd.in/d2_XuDJY 4. Check here for detailed #dataengineering free resources https://lnkd.in/g59qWdi7 Follow this 4 steps, to decide why should you decide data engineering in 2024 rather data science... hope this is "helpful" 😊 do follow Ajay Kadiyala ✅ #datascience #datascientists  #data #hiring #dataengineering #demand#hype #20thcentury

"Confessions of a Data Engineer: The Ultimate Puzzle Master 🧩" Waking up to a sea of logs: Me: "I wonder if the pipeline ran smoothly last night?" Logs: "404 Pipeline not found." 😑 Dealing with messy data: Everyone: "Our data is perfectly clean." Reality: "Extra commas, missing columns, and NULL values everywhere!" 😭 Optimizing queries like a ninja: 10-minute query: "I can do better." 5-minute query: "Still room for improvement." 30-second query: "I am invincible." ⚡ Schema changes mid-sprint: Product Team: "We’re changing the schema for a third time, just a small tweak!" Me: "Yeah, no biggie, I'll just rewrite everything..." 😅 Hearing 'real-time streaming' from stakeholders: My brain: "Here we go again!" 🧠 Heart: "Buckle up, Kafka. It's gonna be a bumpy ride!" 🚀 Pipeline failures in production: Alert at 3 AM: "Pipeline failed." Me at 3 AM: "Pipeline failed me." 🥲 Explaining data integrity to non-tech folks: "No, I can't just 'delete that row,' Susan." 🙃 Deploying fixes with fingers crossed: Me: "Let this be the last one, please." 🤞 Pipeline: "Not today, my friend." 😈 End of day satisfaction: When it all runs perfectly for 24 hours straight: "I’m basically a data wizard." 🔮 #jobseekers #professionaldevelopment #HumanResources #JobSeeker #JobHunt #CareerOpportunities #NewJob #OpentoWork #Employment #HiringNow #India #community #leadership

A Data Engineer: - Ingest and store data - Set up databases - Build data pipelines - Have strong software skills A Data Scientist: - Exploit data - Access databases - Use pipeline output - Have strong analytical skills #data_engineer #data_scientist #data_engineer_vs_data_scientist #DE_role #DS_role