- UpvoteDownvoteShare Job
- Suggest Revision
Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop, maintain, and own scalable, efficient, and reliable ETL processes, using best practices for data ingestion, storage, and processing for business-critical warehousing use cases. Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema.
ExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity and working knowledge would be needed in some of these: Python (Flask) Java Enterprise Programming (Tomcat, Apache, Spring Framework) DataIku, Tableau DataLake (Impala, Hive query building) HDFS, ETL Microsoft Azure Cloud Services APIGEE Koreai (Knowledge Graph and Pattern build) Akamai CDN Service Building application on DMZ Search engine and indexing tools (SOLR.
ExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable FrameworksExperience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc.
$145,000 - $180,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt. Design and deploy robust ETL and ELT flows, ensuring seamless integration of disparate third-party data sources.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Azure Cloud: Azure SQL Database, Azure Data Lake, Azure Data Factory (ADF), Azure SQL Data Warehouse, Azure Service Bus, Azure analysis service (AAS), Azure Blob storage, Azure Search, Azure App service, Redis cache using pipeline and SSIS, infrastructure as a service(IaaS), Database as a service (DBaaS), Data Migration service (DMS.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Design Data Lake and load the data to Data Lake using ETL and PYSPARK-Work with AWS- EC2, VPC, EBS, Athena, Aurora, RDS, DMS, EMR, S3, Redshift. -Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are in search of talented individual who is interested in a career as a Python Data Engineer in HSAG's Data Science & Advanced Analytics division. Additionally, the Python Data Engineer will be responsible for leveraging expertise in Python to extract, transform, and load (ETL) healthcare data from various sources and to use Python to analyze these data.
RemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with data integrations and ETL tools (Airflow, Spark, etc.) Design, develop, and maintain scalable data pipelines and ETL processes to ingest process and store large volumes of structured and unstructured data.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Preferred QualificationsLarge Scale Cloud Data Lake/ Warehouse transformationAWS Cloud experience in Streaming, Batch Data ManagementRedshift or other large warehouse Management experienceAdvanced SQL and AnalyticsBI tools like tableau, QuicksightData Governance and Quality ControlsComputer language experience (Python, PySpark, and R)Monitoring and Alerting systems experience (AppDynamics, Splunk etc.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Drive all aspects of technical and data architecture, design, prototyping and implementation in support of both product needs as well as overall technology data strategy. Essential Functions Build data strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
$145,000 - $180,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Test Data management, SQL, API, Data Mining, Data Analysis, ETL, Cloud, Elastic Search. Should have ETL testing knowledge. Monitor chats and host working sessions with impacted teams and ensure there is a path forward and active investigation on open data requests.
ExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience w/ integrating applications/systems (data producers) with Enterprise Kafka topics (Confluent Kafka integration w/ AWS S3, Redshift) Some hands-on developing with on-prem ETL tooling (Ab Initio preferred, Informatica.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with web application development and design, database technology and ETL tools; Even better if you have experience with Hybris Commerce, SQL Server, MySQL and search engine technology.
ExpandApply NowActive JobUpdated 5 days ago
search data etl jobs
FEATURED BLOG POSTS
10 Reasons to Be on Time at Work
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.
10 Importancies of Setting Realistic Goals
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.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
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!