- UpvoteDownvoteShare Job
- Suggest Revision
Proven experience with Azure, Databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. Job description Infosys is seeking an Azure Databricks Developer with strong Data Engineering background.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka, HBase, Hive, etc. The Big Data Developer will be responsible for data engineering, ETL processes, big data management, data warehousing, and software development tasks.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are hiring an experienced Big Data Engineer with a strong focus on GCP to join our team in Phoenix, AZ. The ideal candidate will have extensive experience in Hadoop, Spark (Batch/Streaming), Hive, and Shell scripting and solid programming skills in Java or Scala.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Big Data /Hadoop , SPARK , Python , Strong SQL. Maintain security and data privacy, working closely with data protection officer. Role :Big Data Developer. Big Data /Hadoop , SPARK , Python , Strong SQL.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Exposure in Big Data Technologies and scripting, Hadoop, HDFS, Hbase, Hive, Shell, JavaScript, ElasticSearch, Logstash, Kibana, Redis, MongoDB, NoSQL DB2; will be an added advantage. Exposure in Big Data Technologies and scripting, Hadoop, HDFS, Hbase, Hive, Shell, JavaScript, ElasticSearch, Logstash, Kibana, Redis, MongoDB, NoSQL DB2; will be an added advantage.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will work closely with cross-functional teams to design, implement, and optimize data processing and analytics systems utilizing Hadoop, Spark, and other big data technologies. Job Title: Big Data Engineer Job Location: Phoenix, AZ Job Type: Contract Job Description: iSoftTek Solutions Inc is seeking a talented Big Data Engineer to join our team.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
A good understanding of Big Data as well as a background in various NoSQL/non-relational systems and tools such as MapReduce, sharding, distributed caching, Memcache etc, along with the ability to discuss some of the leading tools such as Hadoop/HBase, Cassandra, Redis, Azure IoT Hub, Data Lakes, Stream Processing, etc.
ExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of Big Data architectures and tools (e.g., Hadoop, Spark, Cloudera, AWS stack) Familiarity with Business Intelligence tools (e.g., Cognos, PowerBI, Qlik, Microsoft SSRS) Experience working with various database technologies (Oracle, SQL Server, Teradata, MongoDB, Amazon Aurora, etc.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience migrating data from legacy systems using tools like Hadoop, Exadata, Oracle Teradata, or Netezza. Minimum of 3 years of building and operationalizing large-scale enterprise data solutions using one or more third-party resources such as Pyspark, Talend, Matellion, Informatica or native utilities as Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache, Beam Composer, Big Table, Cloud BigQuery, Cloud PubSub etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
1 year of experience with Big Data tools, including Apache, Hadoop, Hive, and Spark distributed framework. Member of the engineering or delivery and integration team reporting to a Senior Engineer, Staff Engineer, Engineering Director.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, or Kafka. Data Warehousing: Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Solid understanding of business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related). Solid understanding of business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Advanced proficiency with cloud analytical tools: Snowflake, Redshift, Hadoop, Spark, Kafka, etc. Transfer for sFTP, S3, Lambda, Secrets Manager, and Route 53 Lead ETL/ELT processes which include the development, refinement, and implementation of data loading and processing tools, including Snowflake, Airflow, Python, SQL, dbt, and shell scripts.
Full-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo-spatial tools and others to perform analysis and interpret data. In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
$132,440 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago
hadoop job in Phoenix, AZ
FEATURED BLOG POSTS
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.
How to Fire an Employee
So… you've finally decided to let one of your employees go. Drafting the paperwork and corresponding with HR is the easy part, but knowing how to fire an employee is where things get complicated. In fact, it is one of the most challenging conversations to have in the workplace. However, it must be done, and it must be done with poise and tact. Not only should you keep your state law in mind, but you should also consider your former employee's wellbeing.
How Long Does it Take to Hear Back from a Job?
Are you applying for your very first job? Maybe you’re anticipating your termination from your current role and want to be proactive. Either way, waiting to hear back on your job application can be stressful. If time has passed since you applied, you may wonder how long does it take to hear back from a job. Well, the answer is... it depends.
How to Respond to a Recruiter Through Email? (Tips & Examples)
Rather than wading through an endless list of open roles, wouldn’t it be nice if relevant job opportunities come to you?
How to Reject a Candidate Professionally
When deciding on how to reject a candidate, your first question may be
How Does Salary Pay Work? (Compared to Hourly Pay)
At the bottom of each job advertisement, companies label a role as salaried or hourly. Both methods will get you paid (yay), but each in very different ways. So, it's essential to figure out how does salary pay work? While employees paid by the hour are paid based on how long they work, employers pay salaried employees a fixed amount.
The Quiet Quitting Phenomenon
The term, quiet quitting, was coined in 2009, but only now is it gaining traction as young Millennials and Gen Z workers are experiencing record levels of burnout. With the pandemic and the state of the economy, young employees are feeling the pressure. So, quiet quitting comes into effect when that pressure is exasperated by work stress and no managerial support.