76 to 100 of 489 Permanent Hadoop Jobs

AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions Nice to Have: Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise More ❯

e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code review). Experience with Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming). Deep understanding of data manipulation More ❯

TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such as Hadoop or Spark. More ❯

TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such as Hadoop or Spark. More ❯

the ability to convey complex concepts to non-technical stakeholders. Desirable (but not essential): Experience with SSIS, AWS or Azure Data Factory. Familiarity with Hadoop, Jenkins, or DevOps practices including CI/CD. Cloud certifications (Azure or AWS). Knowledge of additional programming languages or ETL tools. This is More ❯

Java, C++) and experience with DevOps practices (CI/CD). Familiarity with containerization (Docker, Kubernetes), RESTful APIs, microservices architecture, and big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience More ❯

DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best More ❯

HiveQL, SparkSQL, Scala). Experience with one or more scripting language (e.g., Python, KornShell). PREFERRED QUALIFICATIONS Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best More ❯

would be great if you also had: Experience of configuring and using ETL platforms such as SSIS, AWS or Azure Data Factory Experience of Hadoop and Jenkins Azure Certified AWS Certified Familiarity with Java Knowledge of DevOps practices, including CI/CD pipelines What we do for you: At More ❯

CI/CD principles, methodologies, and tools, including GitLab CI/CD and Jenkins Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience leading a team of AI and ML engineers, researchers, and data scientists to develop and deploy advanced AI More ❯

or related industries. Certification in relevant areas (e.g., AWS Certified Data Analytics, Google Data Analytics Professional Certificate). Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Experience with data visualization design principles and storytelling techniques. Knowledge of agile methodologies and project management. More ❯

for experience with contributions to maintaining systems engineering artifacts adhering to DoDAF. Experience with cross domain methodologies Familiarity with horizontally-scalable frameworks such as Hadoop, Docker, Kubernetes and Kafka Tools: Personal Computer (PC) based systems and project related test equipment Apps/Platforms: Docker/Podman, Kubernetes, Helm, NiFi More ❯

on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data More ❯

recommending scalable, creative solutions. Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena/Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to have. What you'll get: Full responsibility for projects from day More ❯

with Docker, SQL, Angular, Spring Boot, Nifi, AWS, python, scala, shell scripting, and XML processing Experience in AWS solu?on architecture Maintaining the Apache Hadoop Ecosystem, especially u?lizing HBase, MapReduce, and Spark. ETL processes u?lizing Linux shell scrip?ng, Perl, Python, and Apache Airflow. AWS services such More ❯

and software development using Java, JavaScript, or Python. Demonstrated hands on experience working with PostgreSQL and Apache NiFi. Demonstrated hands-on experience working with Hadoop, Apache Spark and their related ecosystems. A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph More ❯

Apache Airflow, DBT, or Kafka • Knowledge of cloud data services (AWS S3/Glue/Redshift, GCP BigQuery, Azure Data Factory) • Exposure to Spark, Hadoop, or other big data frameworks • Personal or academic data engineering projects ⸻ 🎁 Perks & Benefits : • 1:1 mentorship with senior data engineers • Live experience with production More ❯

such as Pandas, NumPy, and SQLAlchemy. Extensive experience with Dash framework for building web applications. In-depth knowledge of Impala or other SQL-on-Hadoop query engines. Understanding of web development concepts (HTML, CSS, JavaScript). Proficiency in data visualization libraries (Plotly, Seaborn). Solid understanding of database design More ❯

analytic tools, environments, and data structures. Preferred qualifications: Experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and Hadoop frameworks. Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop, and ability to implement secure key storage using Key Management System. Experience in More ❯

skills and is familiar with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Azure). • Experience with big data and open source technologies (e.g., Hadoop, Spark) is a plus. • SSCP or CCISO or CISM or CISSP or GSLC is required At BlueWater Federal Solutions, a Tetra Tech company, health More ❯

contributions to the delivery process, manage tasks, and update teams on progress. Skills & Experience: Proven experience as a Data Engineer with expertise in Databricks, Hadoop/Spark. Strong programming skills in Python, Scala, or SQL, with knowledge of CI/CD platforms. Proficiency with distributed computing frameworks and cloud More ❯

Qualifications/Nice to have Experience with a messaging middleware platform like Solace, Kafka or RabbitMQ. Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark More ❯

environment and understanding of SRE principles & goals along with prior on-call experience. Deep understanding and experience in one or more of the following - Hadoop, Spark, Flink, Kubernetes, AWS. The ability to design, author, and release code in any language (Go, Python, Ruby, or Java). Preferred Qualifications Fast More ❯

warehousing, and building ETL pipelines - Experience with SQL - Experience mentoring team members on best practices PREFERRED QUALIFICATIONS - Experience with big data technologies such as Hadoop, Hive, Spark, EMR - Experience operating large data warehouses Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central More ❯

of the time to customer sites located in Hawaii. Subject to change based on customer needs. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could More ❯