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Python, Django, Django Rest Framework, JS, Typescript, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, kubernetes, Postgres & Redis. Expert knowledge of streaming event and messaging architectures (Spark, Beam, Kafka.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Cutting-Edge Technology: Work with advanced open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg. Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with streaming technologies: e.g., Kafka, Kafka Connect, Kinesis, Beam, Flink, Spark. The ideal candidate will have a strong background in cloud technologies, data engineering, infrastructure as code, API design, and experience applying software engineering and DevOps best practices.
$212,450 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Design and develop backend services and APIs using Java, Spring Boot, Cassandra, Oracle SQL, and Kafka. Strong proficiency in backend development using Java, Spring Boot, Cassandra, Oracle SQL, and Kafka.
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Expert in Python, SQL, and big data tools (Kafka, Spark, Hive/Iceberg), with significant experience in cloud platforms (AWS, GCP, Azure). Expert in Python, SQL, and big data tools (Kafka, Spark, Hive/Iceberg), with significant experience in cloud platforms (AWS, GCP, Azure.
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We’re doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Platform Product Manager with a broad understanding of AWS architecture and expertise in one of our core platform disciplines (Kubernetes, Istio service mesh, Kafka, MySQL/Dynamo databases, infrastructure provisioning.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Preferred experience in our technology stack- Python, Django, Golang, React, MongoDB, Presto, Pinot, Kafka, AWS. 10+ years of software engineering experience, with 5+ years in technical lead or architect roles.
$325,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with data engineering frameworks and tools (e.g., Apache Kafka, Apache Airflow). Collaboration with Development Teams: Work closely with software development teams to integrate database solutions with applications, ensuring seamless data flow and application performance.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Amazon S3, Apache Airflow, Apache Kafka, API Development, AWS Glue, AWS Lambda, AWS Redshift, Datadog, DataOps, DevOps, GitHub, Git Version Control System, Kubernetes, PostgreSQL, SQL Database Queries.
$239,200 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience implementing AWS logging and monitoring solutions using Datadog, AWS Security Groups, and AWS MSK (Kafka). Implement effective AWS logging and monitoring using Datadog, AWS Security Groups, and AWS MSK (Kafka.
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Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc. As a Lead Machine Learning Engineer, ML platform you will operationalize innovative ML solutions and work alongside other team members like product manager, Enterprise architect, Principal ML Engineer, Data scientists and business to architect, design, build ML pipeline and productionalize ML models.
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6+ years experience building high volume and low latency data platform and data pipelines using distributed event technology, e.g. Pubsub, Kafka, Kinesis etc, and data storage system, e.g. Spanner/Postgres, BigQuery, Cassandra, data lakes etc.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Develop frontends, APIs, and microservices using technologies such as Python, Plotly Dash, GRPC, Postgres, ElasticSearch, Redis, Kafka, Kubernetes, and AWS, that data scientists and ML engineers can use to effectively generate insights into the performance of autonomous driving perception and machine learning models.
$245,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
kafka job Title: principal software in San Francisco, CA
FEATURED BLOG POSTS
Minimizing Candidate Renegs During the Hiring and Onboarding Process
Candidates reneging on job offers or during the onboarding process can be a frustrating experience for any recruiter. In a talent-driven job market, it’s common for candidates to have more than one job offer to consider. It becomes a race against time to see which organization can offer the best career experience, compensation, and circumstances that secure the right employees.
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Being punctual at work may not be something you’ve given much thought to, but it’s the foundation for building a successful career. All of your technical or job-specific skills will be in vain if your peers and superiors can’t trust you to show up on time and do the work. In fact, Simon Sinek once famously said that
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
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"Nothing we do is more important than hiring and developing people."
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!