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Experience with big data technologies such as Apache Kafka , Apache Airflow , or Databricks. Hands-on experience with ETL/ELT tools (e.g., Informatica , DBT , Fivetran ) for data extraction, transformation, and loading.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Hands-on production experience with orchestration systems such as Airflow.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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5+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Extensive Python/React hands-on experience. This role incorporates both hands-on, and Team/People Management elements, roughly on a 60/40 split. Play a key hands-on role in a product-focused squad.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Extensive hands-on experience working with large datasets using tools like AWS SageMaker, Python, R, and SQL. Strong knowledge of various pharmaceutical data sources, including patient claims data from IQVIA/SHA, sales force activity data, physician prescription data, and real-world evidence data such as MarketScan and Optum claims.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). · Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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The role:SoFi’s Senior AI Specialist - GenAI, NLP (Banking/Financial Services) is a critical hands-on engineer position in SoFi’s growing independent risk organization focussed on applying data processing/reporting and practical artificial intelligence techniques to solve real world problems.
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Capital One is seeking a subject matter expert to deliver game-changing cybersecurity solutions based on threat, data, and design thinking. Hands-on knowledge and expertise in building and/or securing technology, including operating systems, databases, virtualization, cloud computing environments, and networks.
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Oversee assistants' work and ensure accuracy Collaborate with other internal departments (integrated media team, analytics team and creatives), external agency partners and clients What We're Looking For: Social Media Expert : 3-5 years of experience in Hands-On keyboard media buying and digital media strategy, with in-depth knowledge of Meta, TikTok, Snapchat, Pinterest, and LinkedIn. Google Analytics a plus.
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Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark. Hands on experience in dealing with structured and unstructured data from multiple sources and applying machine learning techniques and algorithms to discover patterns, intents and build knowledge repositories and graphs to solve enterprise problems.
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Keep up to date on the latest developments in laws, regulation and industry trends applicable to martech, ad tech, digital media and technology, Big Data, OTT and IOT, including data privacy laws, consumer protection laws, and other guidance from relevant agencies.
$370,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago
hands big data jobs Company: Directv in Queens, NY
FEATURED BLOG POSTS
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.
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!