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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization.
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Advanced programming experience and big data experience within Python, Containerization (Docker and Kubernetes), GIT and GIT lifestyle, Databricks, Hive, Kafka, spark, PowerBI. 2+ years of experience in Big-data tools like spark, databricks.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$75,600 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge in big-data technologies (Hadoop, Apache Spark, Databricks) Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the Magic Quadrant for Data Science and Machine Learning Platforms, you'll using best in class technology to help our customer solve some of their most challenging data problems.
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID). Must have 3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining or warehousing, big data analytics, manipulation, or visualization.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. How many years do you have working with Big Data? Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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While our syndicated products focus on the TMT industry, our custom research, both quantitative & qualitative, and data analysis work spans a variety of industries including eCommerce & retail; blockchain, Web3, and cryptocurrencies; financial services & real estate; politics, public policy & public affairs; CPG, FMCG, & FMPG; healthcare; and travel, transport, lifestyle, & hospitality.
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We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. 4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government.
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Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stackDevOps concepts and tools, such as: GitHub, JIRA, Maven, Jenkins, Chef, Ansible, Docker, ELK stack, Nexus, NagiosDatabase platforms, such as: Oracle, MySQL, NoSQL, Mongo DB, HDFSProgramming languages, and related web technologies, such as: Java, Javascript, Python, C#, C.
$69,287 - $172,075 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. 4+ years of experience with privileged and elevated access using cybersecurity tools, including Trellix Endpoint Security Suite (ESS), or McAfee HBSS, ePO, and FireEye tools, such as MVX, NX, HX, PX, IA, AX, IAS PCAP, or malware or forensics analysis solutions, and Palo Alto Firewalls, ForeScout, ACAS, or Splunk/Cribl.
$65,300 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.
$75,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. What you need to succeed Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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Prior experience in Cybersecurity Operational Risk Management, supporting CISO in deployment and sustainment of cybersecurity capabilities, and previous big four experience preferred. Develop effective and measurable metrics (KRI, KPI and KCI) to analyze data and proactively identify trends or new/emerging risks.
$138,000 a yearRemoteExpandApply NowActive JobUpdated Today
big data jobs Title: senior developer Company: Cognizant in Washington, DC
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Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.