- UpvoteDownvoteShare Job
- Suggest Revision
Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), AWS Solutions Architect, AWS Developer, or AWS Certified Big Data Specialty (Data Analytics Speciality.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
$140,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture. Primary responsibilities for a Senior Data Engineer.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Principal Data Engineer role will work closely with cross-functional product teams and be responsible for designing, developing, and deploying state-of-the-art data engineering techniques and streamlined data ingestion processes to extract valuable insights and intelligence from large and complex medical datasets (structured and unstructured data.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with Big Data is preferred. Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
TemporaryExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of 5 years of experience as a traveling superintendent in commercial construction, with experience in restaurants, retail, big box stores, hotels, multi-family housing, hospitals, shopping centers, and high-rise buildings.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a Senior Data engineer. You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
$267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Your expertise is needed on our Finance Team to collect and manage project data in compliance with Department of Treasury’s Community Development Financial Institutions Fund (CDFI Fund) program requirements, including all CDFI programs (FA, NMTC, CMF, ERP, etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each clientDemonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, PythonEmploying techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
PMO lead for onboarding and embedding an ESG Tool, including Carbon Accounting – data sources, aggregation, formatting; process framework and data input controls, change management to embed into ways of workingAssist to design and embed a cost model covering revenue, GP, overhead, fixed costs, and EBITDA to provide multiyear revenue and EBITDA projections to support Sustainability CAPEX/OPEX investments and realize Sustainability Strategy / timely regulatory compliance.
ExpandApply NowActive JobUpdated Today
big data jobs Title: big engineer in Chicago, IL
FEATURED BLOG POSTS
5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
How to Ask Someone to be a Reference + Email Templates
One part of the job-hunting process that frequently gets overlooked is putting together a list of good references. Most of the time we focus on creating the perfect resume, writing an awesome cover letter, and getting our hands on letters of recommendation. We think about what outfit we’ll wear to the job interview, how we’ll answer those tricky questions, and what our career plan looks like. But, in fact, having multiple references lined up who will speak favorably about you to a potential employer is critical to landing a job. This aspect of job searching really can’t be ignored.
Job Rejection Email Response with Examples
Glassdoor estimates that, on average, there are about 250 applicants for every job vacancy out there. If you’ve ever applied for a job, the odds are that you’ve received the dreaded job rejection email.
Structured vs Unstructured Interviews
The goal of an interview is to evaluate candidates based on their skills, personality, and knowledge. You want to choose the BEST candidate from your candidate pool, so the interview is something you can't mess up. As you begin planning your interview process, one of the major decisions you'll face is whether the interview should be a structured vs unstructured interview. So let's take a dive into the differences and sort out which circumstances warrant which interview process.
How to Describe Your Personality with Examples
Imagine you’re in an elevator with the CEO of your dream company and you get to talking. The conversation is going well and you start to imagine yourself working for their company when the CEO turns around and asks you “tell me a bit about yourself.” Would this catch you off guard or would you be able to give a clear and succinct description of who you are?
4 Ways to Make Your Job Posting More Inclusive
According to a Glassdoor survey,
To ATS or not to ATS
As hiring is becoming more analytical and data-driven, companies have found ways to incorporate technology to help hire and recruit more efficiently. ATS, also known as an applicant tracking system, has become one of the most widely adopted technological recruiting tools to date. In fact, according to data from Capterra: