- UpvoteDownvoteShare Job
- Suggest Revision
5+ years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services. Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.
$145,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Requirements 4+ years of software engineering experience Strong Python skills Strong data operations mindset and opinions on next-generation warehouse tools Strong written and verbal communication skills Experience with building production grade applications using Python Experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake.
$164,000 - $234,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Lead cost efficiency, cost optimization efforts to keep data warehouse/virtual warehouse costs low. Strong understanding of cloud infrastructure and services like EMR, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, apache airflow, SQS, SNS.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Work with developing and deploying data infrastructure and integrations in the cloud including data warehouse like snowflake, redshift etc. Develop ETL integrations with Snowflake - Data extraction, transforming and loading.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Exposure to AWS cloud data pipeline tools such as Managed Airflow and Glue. + 5+ years of experience building cloud scalable and high-performance data lake / data warehouse solutions using AWS products - S3, Athena, Glue, and EMR.
$136,038 - $199,870 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data Warehouse experience on Teradata and GCP BigQuery. This position is part of an ETL development team responsible for analysis, design, development, and support of Data Warehouse ETL pipelines.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Assist in the development of a big data platform in Hadoop using pipeline technologies such as Spark, Airflow, and more to support a variety of requirements and applications. Set the standards for warehouse and schema design in massively parallel processing engines such as Hadoop and Snowflake while collaborating with analysts and data scientist in the creation of efficient data models.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You have opportunity to learn and develop skills in cutting edge big data technologies: BigQuery, Airflow, Looker, TensorFlow, etc. Use tools and programing methods to build scalable ETL framework that transforms and loads large volume of data to BQ data warehouse.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors skills: Data Warehouse (5 years of experience is required)Snowflake (5 years of experience is preferred)AWS Cloud Formation (5 years of experience is preferred)Python (5 years of experience is preferred)Jenkins (5 years of experience is preferred.
$63 - $73 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
2+ years of hands-on experience in ETL development for a data warehouse. Hands-on experience or Knowledge about Airflow, or automated job scheduling tools. Proficient in programming against large data assets with a working knowledge of SQL.
RemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. Build data expertise on subject matter and be able to speak to data warehouse constructs and data architecture.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Sr. Data Warehouse Developer - Prime Services. The product isa data warehousing platform supporting Prime Services business end to end supporting complete suite of services offered to hedge fund clients with technology teams located in the NJ, India and Portugal Offices.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in data processing using traditional and distributed systems (e.g., Hadoop, Spark, Airflow) or experience in data processing using AWS solutions (e.g., AWS Glue, AWS Lambda.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in data pipeline tools (e.g., Apache Airflow, DBT) and database technologies (e.g., SQL, NoSQL). Expertise in design and implementation of enterprise data store, data warehouse, data governance, data quality management, real-time data ingestion, data modeling, and metadata management.
Full-timeExpandApply NowActive JobUpdated 3 months ago
airflow data warehouse jobs
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.
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:
6 Best Ways to End a Cover Letter with Examples
Including a cover letter with your resume is a great way to introduce yourself to the hiring manager, tell them why you’re the ideal fit for the role, and provide context about your personal situation. A strong cover letter will give you an advantage over other applicants. But it’s important that you structure it properly and write it powerfully so that it carries an impact. This article will discuss how to end a cover letter effectively so you catch the eye of a hiring manager and increase your odds of landing an interview. Read on to learn more.