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Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
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Experience with the Big Data technologies is a plus (Redshift, Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc) Design and optimize the big data architecture, including data collection, data governance, data security, data warehouse, data application, algorithm application etc.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Building automation monitoring tools for Big Data and working with data engineering-related tools and technologies, including: Kafka, Data Warehouses, and Apache Airflow.
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Design and build data architecture for data science projects using big data technologies.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Research and evaluate new technologies in the big data space to guide our continuous improvement.
$160,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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CCIE R&S, or CCIE data center certifications and AWS certified solutions architect is a big plus. Experience operating in a modern cloud environment such as AWS, GCP, or Azure or large-scale data centers is a plus.
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Optional Skills:Angular, Apache Hadoop, Apache Hadoop Administration, Apache Kafka, Apache Spark, Apache Storm, Big Data, Cloud Infrastructure, Docker (Software), Docker Swarm, Innovation, Internet of Things (IoT), JavaScript, Kubernetes, React.
$154,800 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ETL, Big data platform (ADLS / Data Bricks / AI / ML / Synapse / DBT). Implementing Data pipelines on Databricks with Scala. Provide solution and design Customer Data Platform for Data pipelines, Integrations with Activation Platforms and DataOps in GCP and Azure cloud environments.
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Our ALOHA and Voltaix products are critical to the manufacturer of the newest computer chips required for Big Data and the Internet of Things. Working cross-functionally across the business, the Strategic Sourcing Manager leads the supply chain strategy development and emerging products supply chain initiation efforts therefore serving the entire product’s life cycle needs working with procurement, product management, technical marketing, safety, quality and chemists.
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Knowledge of the modern data stack landscape (Airflow, Dagster, dbt, Atlan, Alteryx, Collibra, Talend, Databricks, Snowflake, Tableau, Metabase, Mode, Superset, Fivetran, Stitch, etc.) You will leverage your intellectual curiosity, analytical mindset, and cross-functional program management skills to define & execute data governance and Master Data Management (MDM) strategies, and foster a culture of data-driven decision-making.
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The work we do at Bosch Rexroth can make a big difference to the world around you. Bosch Rexroth welcomes and encourages applications from people with disabilities. Learning and Development: We want you to reach your fullest potential, for both yourself and for Bosch Rexroth.
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Contribute to driving the eCommerce data strategy and roadmap by offering additional insights and suggestions for improvement while collaborating with external partners and vendors, assisting in project scoping, prioritization, and successful execution.
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In this role, you will work with Data Scientists to adapt new and existing Machine Learning algorithms to Big Data microservices and build functionality to access those via web-based user interfaces.
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Data technologies (e.g., Snowflake, Databricks, Palantir) Experience with Azure, Snowflake, and Databricks administration and Data Lakes. Partner with IT and Legal to design secure and automated processes and implement practices that enable data democracy and agility.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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big data jobs Company: Indeed in Fremont, CA
FEATURED BLOG POSTS
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.
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"Nothing we do is more important than hiring and developing people."
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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!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.