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Data: Scala, Spark, EMR, Kafka, Airflow, Yarn, Terraform Cloud, Snowflake, Athena, Redshift. Data: Scala, Spark, EMR, Kafka, Airflow, Yarn, Terraform Cloud, Snowflake, Athena, Redshift. Front-end: JavaScript, React, Styled Components, Apollo.
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5+ years working with key open source big-data projects as a contributor or committer including Delta Lake, Apache Iceberg, Apache Hudi, Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Storm and Apache Hive.
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Experience with distributed computing technologies such as Hadoop MapReduce, Scala/Spark-SQL, YARN/MR2 Expertise in designing, implementing and supporting highly scalable data systems and services in Scala Expertise building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest to/from multiple sources to feed batch and near-realtime/streaming compute components.
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Experience with UI/UX development & design systems: CSS, Web Components, Less, Sass Experience or exposure in big data and event streaming technologies: Spark, Kafka, etc. NET, Python And Minimum of 3 years experience with databases and data modeling / design (SQL and NoSQL) And Minimum of 2 years in full stack development for cloud solutions (Azure or AWS) - Azure preferred Skills and Knowledge Experience or exposure in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc.
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Excellent knowledge on Hadoop Components such as HDFS, Name Node, Data Node, YARN, Resource Manager, Node Manager, and Map Reduce programming paradigm. Hands-on experience on Apache Hadoop ecosystem components like MapReduce, Sqoop, Pig, Hive, HBase, Spark, Kafka, Oozie, Flume, Zookeeper.
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You have experience with large scale data processing technologies (e.g. Spark, Flink, Kafka, Airflow, YARN/Hadoop) You have experience with large scale data processing technologies (e.g. Spark, Flink, Kafka, Airflow, YARN/Hadoop.
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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake. Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow.
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Hands-on experience in Scala/Big Data technologies (Spark/Flink, Hive, Oozie, Hbase/Cassandra/MongoDB, Redis, YARN, Kafka) Experience with Java/Scala programming language Experience with shell scripting Experience with ETL job design using Nifi/Streamsets/Talend/Pentaho/etc.
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8+ years of experience in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc. 2+ years of experience in big data and event streaming technologies: Spark, Kafka, etc.
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5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. 5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos.
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Platform and infrastructure Data infrastructure Must have good background in Data science and analytics Kubernetes Hadoop cluster, yarn, hot storage, cold storage, S3 AWS Elastic Kubernetes Spark jobs Java kafka DevOps team – partial operations, partial development Building infrastructure for data EPM with 5 years of experience Infrastructure knowledge, data background, Kafka, Hadoop, yarn knowledge Not architect turned to EPM, Not senior 25 years experience Enough senior to talk to architects.
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Weiteres zum (technischen) Umfeld: Zookeeper, Elasticsearch (Logstash, Kibana, Beats und X-Pack), MapReduce, NiFi, Zeppelin, Hortonworks Data Platform, Falcon, Atlas, Sqoop, Flume, Kafka, YARN, Pig, Hive, HBase, Accumulo, Phoenix, Storm, Flink, Ambari, Ranger, Knox, Oozie.
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Kafka Streaming / Kafka Connect. SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data visualization (e.g. Tableau, Looker, MicroStrategy) Data mining/programming tools (e.g. SAS, SQL, R, Python.
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Big Data Components/Frameworks such as Hadoop (MapR), Spark, Yarn, Kafka, Flink, ELK, etc. Big Data Components/Frameworks such as Hadoop (MapR), Spark, Yarn, Kafka, Flink, ELK, etc. 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy.
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This individual’s day-to-day work will involve using Java, Python, SQL, Big Data, Linux, git, and gradle to design and build software solutions that are fast, scalable, and flexible. Big Data querying tools such as Drill, Presto, Hive, Ojai, etc.
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Why Do Recruiters Ghost and What Can You Do About It?
Once you’ve finally mustered up the courage to find another job, leaning into the job hunt can feel scary and overwhelming. So, it does nothing to help your confidence when your outbox is full of unanswered follow-ups and interview requests. You thought that ghosting only happens on dating apps—so why do recruiters ghost, too? Recruiter ghosting is not an effective recruiting strategy, but sometimes it’s inevitable. How can you overcome such an unfortunate new career trend? Read on.
Internal Hiring Best Practices
Each companies hiring strategy is based on a set of rules that defines the ideal candidate. Many companies utilize internal and external hiring to ensure they have skilled, experienced workers. If you work in recruiting, maximizing your internal hiring strategies could be the key to retaining employees and simplifying your hiring process.
Why is it so Hard to Get a Job After College
For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.