- UpvoteDownvoteShare Job
- Suggest Revision
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$96,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience using cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
$185,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake. As a big data engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
$137,000 a yearPart-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Position DescriptionOur Senior Data Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the exit highest standards of protection and availability.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
4+ years of experience building, scaling and operating cloud services in Azure (including Azure Functions, Azure Containers, Azure DevOps pipelines, Github actions, Github Codespaces, and Jupyter Notebooks) AWS, or GCP.
$294,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
2+ years of experience with a public cloud (AWS/Microsoft Azure/ Google Cloud) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer). Develop and optimize data pipelines for our cloud-based data warehouse using Azure Cloud services.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0; Azure Data Engineer Associate - Microsoft" Apply comprehension of data engineering-specific technologies and services, leverage expertise in databases and a variety of approaches to structuring and retrieving of data, comprehend Cloud architectural constructs, and support the establishment and maintenance of Cloud environments programmatically using vendor consoles.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
$121,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
- Suggest Revision
AWS Certified Big Data – Specialty. The Mid-Level Data Engineer is responsible for developing, constructing, testing, and maintaining data architectures. Job Title: Mid-Level Data Engineer.
Full-timeExpandApply NowActive JobUpdated 3 days ago
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.
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,
How to Calculate Net Income
Understanding your finances can be daunting even if you’re good with numbers. Your net income, in particular, is a key metric for determining how well you’re doing financially and whether your current way of operating is sustainable or not.
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: