#Hiring Data Engineers

[shonatanwer98]

Build the Future of Data: Explore Data Engineer Jobs | Applify

In this role, you’ll design scalable ETL pipelines, optimize cloud-based data solutions, and enable real-time analytics across industries. You’ll collaborate with data scientists, engineers, Data Engineer Jobs, and business leaders to build smart, data-driven systems that empower innovation. If you’re passionate about cloud platforms, big data, and intelligent automation—Applify offers the environment, support, and growth to accelerate your data engineering career.

[tunder]

If Harris wins can I please get a green card

[winsomeismail]

walmart interview questions and answers

Ace Your Walmart Interview with This Comprehensive Q&A Guide! WALMART THUMBNAIL, WALMART INTERVIEW QUESTIONS AND ANSWERS, WALMART SOFTWARE INTERVIEW QUESTIONS Are you dreaming of landing a job at Walmart? Do you want to confidently walk into your interview and secure your spot at one of the world’s largest companies? If so, you’re in the right place! Our Walmart Interview Questions and Answers…

[flexispheres]

Top 10 Skills You Need for a Successful Career in International Development and NGO Jobs

The international development sector is a fast-evolving, multi-dimensional field dedicated to improving lives worldwide through sustainable solutions, humanitarian aid, policy reform, and capacity building. Whether you aim to work with the United Nations, international NGOs, multilateral organizations, or grassroots entities, possessing a diverse skill set is crucial for thriving in this…

[offsoarmarketing]

Learn how to handle Slowly Changing Dimensions (SCDs) in Snowflake to maintain data integrity and support historical analysis. Explore best practices and implementation tips.

https://offsoar.com/managing-slowly-changing-dimensions-scds-in-snowflake-for-data-integrity-and-historical-analysis/

[ctcnewsca]

👩🏻‍💻 Coinbase is hiring for 92 tech roles in Toronto, but their AI-driven process is 36x tougher than Harvard admission. 👩🏻‍💻 Discover open roles, expert tips to stand out, and why Coinbase is Canada’s top crypto employer 👇🏻

[job24by7]

Build Your IT Career with Job24by7’s Expert IT Recruitment Consulting Services for Freshers and Professionals

Navigating the world of IT careers can feel overwhelming-especially with so many evolving technologies and job titles. Whether you’re a fresher looking to break into tech or a professional aiming for your next big move, finding the right opportunity is crucial.

That’s where Job24by7’s IT recruitment consulting services come in.

At Job24by7, we’re dedicated to helping talented individuals connect with leading companies across the tech industry. Our seamless IT recruitment consulting services are designed to guide both freshers and experienced professionals through the entire hiring process, ensuring that your journey from application to offer is smooth and successful.

We specialize in placing candidates in exciting roles such as:

Blockchain Engineer – perfect for innovators passionate about decentralized technology.

AI/ML Engineer – ideal for those fascinated by machine learning and artificial intelligence.

Data Scientist – for analytical minds eager to transform data into powerful insights.

Front-End Engineer – for creative developers who love crafting engaging user experiences.

But we’re more than just a recruitment agency. Our team at Job24by7 takes time to understand your unique skills, career goals, and what truly matters to you in a job. Whether it’s polishing your resume, preparing you for interviews, or helping you identify roles that match your ambitions, our IT recruitment consulting services are designed to help you thrive.

The IT industry is constantly evolving, and there’s never been a better moment to explore new opportunities. From fresh graduates stepping into their first roles to professionals ready for the next big challenge, Job24by7’s IT recruitment consulting services open doors to exciting possibilities.

Ready to take the next step in your IT career? Discover how Job24by7 can help you turn your skills and passion into a successful future in tech.

[academiceurope]

Job - Alert 🌱

🎯 Jetzt bewerben: Wissenschaftliche Mitarbeit (m/w/d) in Technischer Informatik

An der Helmut-Schmidt-Universität/Universität der Bundeswehr Hamburg erwartet dich ein spannendes Forschungsprojekt zu Multiagenten-Systemen, verteilten Algorithmen und Cloud-Technologien (Kubernetes) – mit direktem Anwendungsbezug in multinationalen Schiffsverbänden.

🧠 Du bringst C++-Skills, Interesse an vernetzter Entscheidungsfindung & Lust auf internationale Zusammenarbeit mit?

Dann werde Teil eines motivierten Teams und forsche an zukunftsweisenden Verteidigungstechnologien!

📅 Bewerbungsschluss: 27. Juli 2025

📍 Standort: Hamburg

🔗 Infos & Bewerbung: https://www.academiceurope.com/ads/wissenschaftlicher-mitarbeiterin-m-w-d-professur-fur-technische-informatik/

[pythonjobsupport]

Top 5 Companies Hiring for Data Engineer | Highest CTC #faang #mnc #dataengineer #youtube #shorts

Top 5 Companies Hiring for Data Engineer | Highest CTC #faang #mnc #dataengineer #youtube #shorts#faang #mnc … source

[arnasoftech]

From GenAI to Low-Code: What’s Next in Software Development Trends

Do you remember that building software used to demand months of initial planning, writing lots of complicated code and countless tries to find problems in it? By 2025, everything has changed from today’s situation. Because technology keeps evolving so fast, it is both exciting and incredibly changing.

Now, if you are a CTO, product manager or make business decisions, you should take note of the main Software Development Trends in 2025. Because of GenAI and low-code platforms, businesses are changing how they approach development, improvement and staying ahead.

GenAI Is Not Only a Popular Phrase

Let’s start with the showstopper—Generative AI (GenAI). No longer confined to chatbots and image generators, GenAI is now playing a pivotal role in software engineering.

We're seeing AI models that can write boilerplate code, generate test cases, and even suggest architectural improvements. Developers aren't being replaced—they’re being empowered. GenAI is handling the repetitive, low-value tasks so that engineering teams can focus on innovation and problem-solving.

In 2025, expect more organizations to integrate GenAI into their development lifecycle. Not just to speed up delivery—but to reduce human error, enhance quality, and push the boundaries of what’s possible.

The Rise of Low-Code and No-Code

Closely following GenAI is the explosive growth of low-code and no-code platforms. These tools are democratizing development. Your business analyst or operations lead might soon be building internal dashboards without writing a single line of code.

Low-code tools are especially powerful for rapid prototyping, workflow automation, and integrating siloed systems. They bring agility to the table—something traditional development has always struggled with.

For enterprise teams managing complex digital transformation projects, this is a game-changer. And it’s one reason why platforms backed by Microsoft—like Power Platform and Azure Logic Apps—are seeing huge traction.

Where Microsoft Consulting Services Fit In

Now, you may be wondering about Microsoft’s role in this discussion.

As companies try to use newer technologies, there is often a challenge in fitting them well into their current systems. It is for this reason that Microsoft Consulting Services exist.

These services make sure your infrastructure is easy to adjust, secure and supports the goals your business seeks in the future. With Power Apps, better Azure usage or industry-specific AI, Microsoft’s teams aid you in moving towards digital adoption more quickly than most businesses usually can.

What’s Ahead?

Looking beyond 2025, we can expect these Software Development Trends to evolve even further:

AI-Augmented Teams: Human + AI collaboration will become the norm in product development.

Hyperautomation: Combining RPA, AI, and low-code for full process automation.

Composable Architecture: Swapping monoliths for flexible, plug-and-play modules.

These aren’t just trends. They’re the new building blocks of modern software.

Final Thoughts

It is clear from Software Development Trends 2025 that the boundaries between developers, business users and machines are becoming less noticeable. Now, software will be more efficient, sharper and team-focused than in the past.

Regardless of launching new products or adjusting old ones, the recent tech trends should not be ignored. When you rely on Microsoft’s experts, moving into this period can be safe and help you excel in your market.

[jcmarchi]

Taming the Social Chaos: AI’s Quiet Revolution in Marketing

New Post has been published on https://thedigitalinsider.com/taming-the-social-chaos-ais-quiet-revolution-in-marketing/

Taming the Social Chaos: AI’s Quiet Revolution in Marketing

While everyone debates whether AI will replace marketers, something more interesting is happening behind the scenes. AI is finally bringing structured systems of scale and measurement to marketing’s most chaotic frontiers. After years of flying blind in spaces like social media and influencer marketing, marketers are getting their first real tools for systematic influence.

This transformation centers on two breakthrough capabilities that were previously impossible to do at scale: authentic presence and measurable outcomes. Together, they’re turning social media from a hit or miss awareness play into a sophisticated conversion engine.

The ‘Last Mile’ Gap

For decades, social media marketing has required a significant leap of faith. Brands invested heavily in influencer campaigns and content strategies based on reach and engagement metrics, knowing these told only part of the story. A marketer’s creative intuition, combined with the potential for relationship-building, has driven most decisions, often successfully, but the gap between social engagement and business outcomes remained largely unmeasurable.

A creator or brand might have genuine influence over their audience, but that influence would often dissipate in the gap between a viewer’s content consumption and action. Engagement would spike, then fade without clear pathways for interested viewers to take meaningful next steps.

These channels evolved faster than measurement capabilities could keep pace. The data was fragmented, attribution was nearly impossible, and most importantly, the sheer volume of interactions made personalized follow-up humanly impossible.

Breakthrough #1: Authentic Presence at Scale

The first major shift AI enables is something previously impossible: authentic presence at scale. For the first time, creators and brands can be genuinely present in conversations with massive audiences without losing their voice or sacrificing quality.

Consider what “being present” meant before AI. A creator with 100,000 followers might receive hundreds of DMs and thousands of comments daily. Responding to even a fraction required either ignoring most of their audience or hiring teams of people trying to mimic their voice.

Context-aware AI can now learn a creator’s audience, engagement patterns, and objectives well enough to maintain a multitude of impactful interactions. These systems understand context, conversation history, and individual user intent to provide genuinely helpful, on-brand responses that get results.

The intelligence layer analyzes incoming messages to understand not just what someone is asking, but where they likely are in their relationship with the creator or brand. A longtime follower asking about a specific product gets different treatment than someone new to the community. Someone showing high purchase intent gets routed differently than someone seeking general advice.

Within frameworks that preserve the creator’s identity and speaking style, systems can qualify leads, segment audiences, provide valuable content, and guide conversations toward meaningful outcomes while feeling genuinely human.

Breakthrough #2: Measurable Conversion Pathways

The second transformation is perhaps even more significant: social media interactions are finally becoming measurable business drivers. The industry is moving from brand-led content strategies to systematic conversion funnels that track progress from initial attention through final purchase.

Previously, the measurement story went like this: post content, count likes and shares, hope for the best. The gap between engagement and outcome was a black box. People were interacting, but it was difficult to track who moved from casual viewer to genuine prospect to paying customer.

AI-powered conversation systems create measurable pathways where none existed before. When someone comments on a creator’s post, a purpose-built AI can initiate conversations that progressively qualify interest, provide relevant information, and guide viewers toward specific actions while tracking every interaction.

This means marketers can finally answer questions that have plagued social media marketing for years: Which content themes actually drive purchase consideration? Which audience segments are most likely to convert? What conversation flows move people from passive consumption to active interest?

More importantly, it’s now possible to optimize based on these insights. If certain message sequences perform better with specific audience segments, systems automatically route similar users through higher-converting pathways. If particular content formats generate better-qualified leads, creators can double down with confidence.

Powering the Sales-Driven Creator

For individual creators, these capabilities create a compounding effect that transforms their business models entirely. Instead of constantly creating new content to maintain attention, they can build systematic engines that turn existing audience engagement into sustainable revenue.

A fitness influencer can now automatically qualify followers based on their specific goals, fitness level, and interests. Someone commenting about weight loss gets guided through conversations about nutrition coaching. Someone asking about strength training gets connected to relevant programs. Each interaction is tracked, measured, and optimized over time.

These systematic approaches amplify the creator’s authentic content. Every post becomes a potential entry point into deeper conversations. Every piece of content can be measured not just by engagement, but by its ability to drive qualified prospects into conversion pathways.

The Brand Multiplier Effect

For brands recruiting influencers, these capabilities create entirely new levels of campaign effectiveness and accountability. When a brand partners with creators who have intelligent conversation systems, every piece of sponsored content becomes a lead generation engine.

Comments, DMs, and engagement can be automatically qualified and routed to brand-specific conversation flows. Interested prospects can be guided through educational content, product demonstrations, and purchase pathways while maintaining the creator’s authentic voice and trusted relationship. This transforms influencer marketing from a brand awareness play to a performance marketing channel with clear ROI measurement. Brands can track qualified leads, conversion rates, and customer acquisition costs by creator, content type, and audience segment.

The measurement capabilities also enable much more sophisticated creator selection. Instead of choosing influencers based primarily on follower counts and engagement rates, brands can evaluate creators based on their audience’s demonstrated purchase behavior and conversation conversion rates.

A Strategic Shift

What the industry is witnessing represents the emergence of an entirely new category of systematic influence. Social platforms are becoming sophisticated sales and relationship-building engines rather than just awareness channels.

For creators, this means sustainable business models that aren’t entirely dependent on constant content creation and algorithm changes. They can build systematic engines that turn audience engagement into recurring revenue while maintaining authentic relationships.

For brands, this means social media marketing finally becomes accountable to business outcomes rather than vanity metrics. They can build systematic conversion funnels that turn attention into customers while leveraging the trust and authenticity that make influencer partnerships effective.

The brands and creators who recognize this shift and invest in building intelligent conversation systems rather than just posting content will create sustainable competitive advantages. AI is finally making social media marketing systematic, measurable, and scalable while preserving the human connection that makes it powerful.

[hiringjournal]

Common Mistakes to Avoid When Hiring a NoSQL Engineer

Many tech businesses are switching from traditional relational databases to NoSQL solutions due to the rise of big data and real-time applications. Employing the correct engineer may make or break your data architecture, regardless of whether you're utilizing Couchbase, Redis, Cassandra, or MongoDB. Many teams still make mistakes in the hiring process.

Here are the most typical blunders to steer clear of—and what to do instead—if you intend to hire NoSQL engineers.

Smart Hiring Starts with Clear Expectations and the Right Evaluation Strategy

Focusing only on tool familiarity

It's simple to believe that understanding a particular NoSQL database, such as MongoDB or DynamoDB, is sufficient. However, true proficiency extends beyond syntax. Data modelling, consistency trade-offs, segmentation, and indexing across many systems are all things that a competent NoSQL developer should be aware of.

Ask them how they would create a schema for your use case or deal with scalability issues in a distributed setting rather than just what technologies they have used.

Overlooking use case alignment 

NoSQL databases are not all made equal. Some excel in document storage or graph traversal, while others are excellent for quick key-value access. Make sure the NoSQL engineers you hire have experience with the kind of system your project requires.

For instance, employing someone with solely batch-oriented system experience could lead to problems later on if your product needs real-time analytics. Match their experience to your business objectives and architecture.

Ignoring performance optimization skills

NoSQL engineering includes a significant amount of performance-under-load design. However, a lot of interviews don't evaluate a candidate's ability to locate and address bottlenecks.

Seek out engineers who can explain sharding, replication, cache techniques, and query profiling. As your data grows, they are the abilities that keep systems operating quickly and consistently.

Not testing problem-solving skills

Because NoSQL systems frequently lack the rigid structure of SQL-based ones, their designs may be more complex. Asking abstract questions or concentrating solely on theory is a mistake that many tech companies make.

Present real-world examples instead. How would they transfer SQL data to NoSQL? In a dispersed setting, how would they manage conflicting records? This aids in identifying real-world, practical experience.

Relying only on resumes or generic platforms 

Resumes frequently fail to convey a person's collaborative or thought processes. Make sure the IT recruitment platform you're utilizing has resources that assist you to evaluate real skill rather than just job titles, such as technical tests, project portfolios, or references.

You have a higher chance of hiring NoSQL developers with proven abilities if you use platforms that are specifically designed for data-centric roles.

Not considering cross-functional collaboration 

NoSQL developers frequently collaborate with analysts, DevOps, and backend teams. They should be able to convert data requirements into scalable solutions and connect with various stakeholders.

Make sure your NoSQL hire knows how to expose and format data for downstream analytics if your company intends to hire data scientists in the future.

Closing Speech

There is more to hiring a NoSQL developer than simply crossing off a list of technologies. Finding someone who can accurately model data, address performance problems, and adjust to changing business requirements is the key.

It's crucial for software organizations that deal with big, flexible data systems to steer clear of these common blunders. Take your time, make use of the appropriate resources, such as a reliable IT recruitment platform, and ensure that the individual you choose is capable of more than just writing queries; they should be able to help you develop your long-term data strategy.

[shonatanwer98]

Hire Top Data Engineering Talent in Singapore | Applify

Boost your data initiatives with Applify’s expert IT staff augmentation services. Hire top Data Engineers in Singapore to build scalable ETL pipelines, enhance cloud data systems, and drive real-time analytics. Scale your team on demand—book a free consultation today.

[flexispheres]

Understanding Job Grades and Salary Scales in the UN and INGOs

When exploring a career with the United Nations (UN) or international non-governmental organizations (INGOs), job seekers often encounter unfamiliar terms such as P-3 level, G-6 grade, or consultancy contracts. These classifications are more than just acronyms — they represent structured employment systems that govern job expectations, salaries, benefits, and career progression. In this detailed…

[maria-murphy]

Hire Data Engineers in India | Quytech

Looking to hire data engineers in India? Quytech provides skilled data engineers for big data, AI, cloud, and analytics solutions. Our experts help you build scalable, data-driven applications to enhance business efficiency. Get flexible hiring models and reliable support. Contact us today!