- UpvoteDownvoteShare Job
- Suggest Revision
Audit Management, Databricks Platform, Databricks Unified Data Analytics Platform, Data Integrity, Data Presentations, Data Science, Internal Controls, Microsoft Azure, Microsoft Power BI, Operating Effectiveness, People Management, Python (Programming Language), Risk Based Auditing, Risk Management and Mitigation, Scientific Data Analysis, Technical Leadership.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Good to have experience in Azure/AWS Databricks. Infosys is seeking an Azure and Snowflake Data Engineer.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop in data technologies such as T-SQL, Microsoft Azure Data Factory, Databricks. Proficient in Databricks, Microsoft T-SQL, SSIS, ADF, Visio, Word, Excel, Outlook, PowerPoint and Azure DevOps (will train.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
8+ years data engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Hands-on experience & understanding designing, building, and maintaining complex ETL pipelines using Snowflake, Databricks, Kafka, and AWS Glue.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The technology stack of this CSR data product build is Azure SQL Datawarehouse, Python, Databricks, and Azure Datalake at a high level. -Experience with Azure Data Factory, Databricks, or Mlflow.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Enterprise Cloud Team is looking for a Senior Cloud Engineer with hands-on Microsoft Azure cloud engineering experience and required Databricks infrastructure, performance, hands-on.
Full-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience in machine learning engineering, data science, or a related field. Knowledge of machine learning algorithms, statistical modeling, and data structures. Proficiency in Python for machine learning and data analysis.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta shareetc. Design, Develop, Modernize/Migrate pipelines to Databricks.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Support the design and implementation of data pipelines for data ingestion, processing, and feature engineering, ensuring data quality and integrity. Work closely with product teams, data scientists, software engineers, and business stakeholders to understand requirements, provide technical guidance, and ensure successful project delivery.
ExpandApply NowActive JobUpdated 6 days ago
databricks job Title: data engineer Company: 3ktechnologies
FEATURED BLOG POSTS
How to Prepare to Be Fired - What You Need to Do
If you’re reading this, let me be the first to tell you how sorry I am. Getting fired feels crappy, disheartening, hurtful, and all the other bad, sad words. But here’s what I want you to do. First, let yourself fumble for a minute. Then, pick your head up — sometimes getting fired is a blessing in disguise. If you think termination is around the corner, we’ll teach you how to prepare to be fired and what to do next so you land somewhere even better.
How to Find a Job That Makes You Happy - 11 Concerning Facts
Do you ever feel like your life is like one of those rom-com movie scene openers? You know, the ones where the main character rolls out of bed, awakened by a casually upbeat theme song, sulks their way to the coffee pot, and then trudges toward their computer to begin yet another boring day at work?
How to Decline a Job Offer You Already Accepted
When you think about it, turning down a job offer is not the worst position you could be in. If you’ve been lucky enough to consider multiple job offers, well, then you’re lucky enough.
How to Practice Fair Chance Hiring for People With Criminal Records
Usually when you think of your dream hire, you think of someone who is respectful, trustworthy, reliable, and has sound judgment, right? As you envision your ideal candidate with these qualities, the last person you think of is someone with a criminal record.
6 Common Mistakes to Avoid When Employer Branding
Currently, job searchers are putting extra effort into researching employers. The information they find plays a major role in whether they will pursue an opportunity with you or look for jobs elsewhere. That is why it is now more important than ever to be proactive and intentional when showcasing your workforce and workplace culture. Having a well crafted employer branding strategy can help you strategize and influence your potential candidates so they see your business in the best light. But in order to do that, you should be aware of some of the most common mistakes that employers make.
What to Say When Terminating an Employee
Terminating an employee is an inevitable part of doing business. Whether you’re re-structuring your department or you’ve identified a few employees who’re not living up to your expectations, letting people go is necessary for keeping your workforce healthy and thriving.
How to Utilize Keywords for Your Job Ads
Before we give you the scoop on how to utilize keywords in job ads, it would be helpful if we defined what keywords are and why they are important. In simple terms,