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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. Plan, design, build, test and deploy data warehouse and data mart solutions.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Data warehouse experience - cloud data warehouse preferred (Snowflake, Databricks, Redshift, BigQuery) Experience with data analytics business use cases. Data modeling / shaping.
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Information Technology Services : This position will reside within the Enterprise Information and Analytics team, and work in close alignment with IT Education to develop an overall education data strategy and data warehouse to support the education mission at UCSF.
$200ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Understanding of database technology and experience with a cloud SQL data warehouse (e.g. BigQuery, Postgres, Snowflake) Experience with a data visualization tool (e.g. Tableau, Looker, Sigma.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data warehouse platforms and technologies such as Amazon Redshift, Google BigQuery, Snowflake, or Microsoft Azure SQL Data Warehouse. Strong background in data engineering, with hands-on experience in designing, building, and maintaining data warehouse solutions.
$150Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Experience building data warehouse, data lake and data pipeline using Google Cloud Platform (GCP) We are seeking a Senior Staff Data Engineer in our Ads Engineering team, crafting ground breaking mobile advertising technologies to build the next generation of our Ads Platform.
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Works to increase the usage and value of the data warehouse and ensures the integrity of the data delivered. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud and Data Solutions: Experience in building cloud-based Data Warehouse/Data Lake solutions (AWS Athena, Redshift, Snowflake) and familiarity with AWS cloud services and infrastructure-as-code tools (CDK, Terraform.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Craft and build cloud-based data lakes and data warehouses. Working experience in building data warehouses and data lakes. Design and build Data Pipelines to collect, transform, store, analyze, explore and visualize.
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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Use appropriate machine learning and statistical methods to gain insights from our experimental data and publicly available proteomic, transcriptomic, and genomic resources. Effectively use public datasets and guide generation of internal experimental data to characterize and evaluate locational protein targets.
ExpandApply NowActive JobUpdated 8 days ago
data warehouse jobs Title: data Company: Jobot in San Francisco, CA
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The Effects of Workplace Racism and Sexism
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.
How to Increase Job Ad Exposure
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.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
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.