- UpvoteDownvoteShare Job
- Suggest Revision
Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data technologies such as Hadoop, Spark, or Kafka. Proficient in Python, R, or Scala, and familiar with SQL and NoSQL databases is preferred. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced analytics tools.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus. As part of our continued growth and digital transformation efforts, we are seeking a skilled Data Engineer to join our team on a contract basis.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Big Data technologies (Hadoop, Hive Spark, Presto, Flink, Kafka). Experience with Big Data technologies (Hadoop, Hive Spark, Presto, Flink, Kafka). Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong understanding of distributed systems, big data technologies (Hadoop, Spark, Kafka), and cloud platforms (AWS, GCP, Azure). Experience with data modeling, data warehousing, and data pipeline orchestration tools (e.g., Airflow, Composer.
Full-timeRemoteExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
MapReduce, Hive, HBase, NoSQL, Parquet, GLUE, Athena (queries), Kafka, Data Bricks, Snowflake, Tableau, Yarn, API, Java, C/C. SSIS, Hadoop, Informatica, Scala, Spark, PySpark. 3-7+ years QA/QC Data Testing of Big Data.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Implementation and tuning experience in the big data ecosystem such as Hadoop, Scala, Hive, Pig, Spark, HBase, HDFS, YARN, Sqoop, NiFi, Storm, Impala, Hawk, Flume, Kafka, Sqoop, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus. Experience in Data identification, querying, cleaning, wrangling, check quality, working with common relational and non- relational database in Big data environments on both on-prem and cloud such as Azure, AWS and Google cloud.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, and cloud platforms like AWS, Azure, and GCP). 5+ years of experience in data engineering principles and practices (e.g., big data technologies, data warehousing, data pipelines.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Job Title: Big Data Engineer. Define and develop client specific best practices around data management within a Hadoop environment.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data technologies and exposure to Hadoop, Spark, AWS Glue, AWS EMR etc. Built high throughput real-time and batch data processing pipelines using Spark, Kafka, on AWS environment with AWS services like S3, Kinesis, Lamdba, RDS, DynamoDB or Redshift.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR. Spark streaming, Kafka, Apache Storm, Flink NoSQL. Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR. Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora.
Full-timeExpandApply NowActive JobUpdated 1 month ago
hadoop kafka big jobs in Georgia, GA
FEATURED BLOG POSTS
Decline a Job Offer Professionally: When to Rescind
Your job search has finally paid off! After countless job applications, numerous emails, and several interviews, the hiring manager and other stakeholders have decided that you’re the right person for the job! All you have to do now is accept the offer and walk into the sunset, right?
Resume Job Description Samples - 8 Tips to Follow
When looking for a job, your resume becomes a crucial element. From making a great first impression to showcasing all your achievements and potential, your resume has to portray your professional story in minutes.
Internship Cover Letter Tips with Examples
Until now, college has been about learning, absorbing, and experiencing. It’s not until you become eligible for an internship that things start getting real—real-world experiences using real-life scenarios. Applying for internships takes time, and there’s no college course on “how to apply for jobs.” (We’d sign up immediately if there was, though!) But here's a spoiler alert: most internships require a cover letter. And while this may seem like a burden, it’s actually a blessing.
5 Practical Ways to Remove Bias from your Hiring Process
Many employers think their hiring process is perfect. However, research shows that the hiring processes are generally impartial and unfair, especially if you are part of certain demographics. Women, people of color, people with disabilities, or even people in lower socioeconomic status are more likely to be subject to implicit bias. As diversity and employer branding become major aspects of business, it is important that employers take the lead to identify and remove bias from the hiring process. So, here are 5 practical ways to get you started.
Tips to Get Your First Job Confidently
Whether you’re a recent graduate or you still have a few exams left, you may be itching to put your polished leather shoes on and join the workforce. After all, your first job is an entryway into the professional life you’d lead for the decades to come.
Tips for a Good Character Reference Letter with Examples
Hiring managers love a resume laden with relevant skills and qualifications. Hard skills specific to the role, like SEO strategy or Java programming languages, are easy to qualify using achievements or facts and figures. But how exactly can they verify personality traits, work ethic, relationship management skills, or curious nature during an interview when they barely know you?
Why College Students Should Work While in College?
College is a special part of our lives. It’s a time when we prepare for our dream job while creating some of the most memorable moments in life. That said, college life can also be stressful. Not only do we have to spend long hours studying, writing and researching, but we also have to deal with increased tuition fees and living expenses.