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Google Cloud Platform Services: DataFlow, BigQuery, Cloud Storage, DataProc, Airflow, Composer, Pub/Sub and Memorystore/Redis. Experience in scheduling like Airflow, Cloud Composer etc. Role: Sr. Google Cloud Platform Data Engineer.
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The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. Experience with Airflow (Astronomer). The Data Software Engineer position will involve design, implementation, testing and launch of new applications for loading dealer data and generating analytical insights.
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You will be maintaining our existing Snowflake data warehouse and integrating new data sources as they become availableYou will own, maintain, and build on our Airflow task orchestration systemYou will design new data transforms using SQL/dbt that can be integrated into our Airflow pipelinesYou will work to build strong relationships with and support co-workers, including remote peers in other time zones.
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Jacobs Facility Modeling & Analytics (FMA) Group is looking for a Computational Fluid Dynamics (CFD) Engineer with expertise in applying computational fluid dynamics (CFD) tools to thermal/airflow design and analysis of the built environment.
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Exposure to AWS cloud data pipeline tools such as Managed Airflow and Glue. Experience integrating with Ad Tech platforms such as Operative and STAQ. Exposure and opinions regarding alternate orchestration tooling beyond Airflow.
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Design and build facts, dimensions, snapshots, SCDs in Snowflake using DBT/Airflow/ELT tools. Experience working with data orchestration tool Apache Airflow. Our category-defining enterprise platform enables organizations to operationalize trust across privacy, security, data governance, GRC, third-party risk, ethics, and compliance, and ESG.The ChallengeSenior Principal Data Engineer will be part of an innovative data team that enables Finance, Marketing, Product, Sales and to explore data and take actions that differentiate us from our competition.
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You have worked with Dagster/Airflow, BigQuery, GCP, Terraform, Kubernetes, sklearn, keras/TensorFlow/pytorch, dbt, data modeling, Python/Pandas data frameworks, and scalable technical concepts/solutions.
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Experience with a modern data stack, including tools like Snowflake, Looker, Airflow, and dbt. Configure data consumption tools such as Looker and Airflow to support self service analytics.
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Expertise in Spark Streaming, Apache Airflow, Cloud (Azure preferred), and on-premises open-source data systems. Utilize Apache Airflow for data pipeline management, ensuring compliance with security policies.
$215,000 - $322,250 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience working job orchestration (eg., Airflow / Databricks Workflows) RVO Health is looking for an experienced Data Engineer to join our team! As a Data Engineer at RVO Health, you will have the chance to build technology that drives real improvements to consumer health outcomes and has the potential to have a widespread impact across the healthcare industry.
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You will primarily be working on Apache Spark/DataLake/Airflow (in Python) and other cloud-based technologies. Work with distributed systems orchestration tools like Airflow. As a member of the engineering team, you will join us as an engineer, responsible for building and scaling our data pipelines and distributed data stores powering our platform.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Includes Snowflake, Apache Airflow, AWS cloud infrastructure (e.g., Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript. Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow.
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Access to a Free Udemy for Business subscription—thousands of hours of learning content on hundreds of different subjects at your fingertips. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health.
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Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark. · Develop test maintain and document data pipelines using DBT Spark AWS Glue and Airflow. · Experience with data stack technologies such as Apache Airflow Prefect Dagster Apache Iceberg.
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You will get to work in a best-in-class tech stack that includes Airflow, Snowflake, dbt, and Looker. Have hands-on experience developing and supporting a modern data infrastructure, including cloud data warehouses such as Snowflake, BI tools such as Looker, and data orchestration platforms such as Airflow.
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airflow job Title: machine learning engineer Company: Advantis Global
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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.
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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.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.