data-based insights, collaborating closely with stakeholders. Passionately discover hidden solutions in large datasets to enhance business outcomes. Design, develop, and maintain data processing pipelines using Cloudera technologies, including Apache Hadoop, Apache Spark, ApacheHive, and Python. Collaborate with data engineers and scientists to translate data requirements into technical specifications. Develop and maintain frameworks for efficient … verbal communication skills for effective team collaboration. Eagerness to learn and master new technologies and techniques. Experience with AutoSys is preferred. Experience with distributed data/computing tools: Hadoop, Hive, MySQL, etc. If you're a passionate Cloudera Developer eager to make a difference in the banking industry, we want to hear from you! Apply now to join our More ❯
MySQL, PostgreSQL, or Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow. Proficiency in Python and at least one other programming language such as Java, or Scala. Willingness to mentor more junior members of the team. Strong analytical and problem More ❯
modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco More ❯
modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco More ❯
to help open/close the workspace during regular business hours as needed. Preferred Requirements • Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. • Experience with containers, EKS, Diode, CI/CD, and Terraform are a plus. Benefits $152,000-$198,000 salary per year, depending on experience. More ❯
will also accept TS/SCI or TS/SCI with CI Polygraph Desired Experience: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Work could possibly require some on-call work. The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants More ❯
will also accept TS/SCI or TS/SCI with CI Polygraph Desired Experience: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Work could possibly require some on-call work. The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants More ❯
will also accept TS/SCI or TS/SCI with CI Polygraph Desired Experience: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Work could possibly require some on-call work. The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants More ❯
Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models More ❯
analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those More ❯
SCI with Polygraph security clearance required Desired Qualifications: Familiarity with AWS CDK Terraform, Packer Design Concepts: REST APIs Programming Languages: JavaScript/NodeJS Processing Tools: Presto/Trino, MapReduce, Hive The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual More ❯
SQL, PL/SQL, 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. - Knowledge of cloud services such as AWS or equivalent Our inclusive culture empowers Amazonians to More ❯
development of database solution in both traditional as well as columnar databases. Experience in data integration with ETL techniques and frameworks Experience in Big Data querying tools, such as Hive, Impala and Spark SQL Work Schedule: MULTIPLE SHIFTS AVAILABLE Work Type: Full Time More ❯
technologies (PostgreSQL, MySQL, RDS) US citizenship and an active TS/SCI with Polygraph security clearance required Desired Experience: Experience with distributed databases and streaming tools (Hadoop, Spark, Yarn, Hive, Trino) Experience with Remote Desktop Protocol (RDP) technologies Experience with data access control, specifically Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) Familiarity with data science More ❯
technologies, Virtualisation Tools, Monitoring utilities, Disaster recovery process/tools Experience in troubleshooting and problem resolution Experience in System Integration Knowledge of the following: Hadoop, Flume, Sqoop, Map Reduce, Hive/Impala, Hbase, Kafka, Spark Streaming Experience of ETL tools incorporating Big Data Shell Scripting, Python Beneficial Skills: Understanding of: LAN, WAN, VPN and SD Networks Hardware and Cabling More ❯
Demonstrated experience in micro service architecture using Spring Framework, Spring Boot, Tomcat, AWS, Docker Container or Kubernetes solutions. 5. Demonstrated experience in big data solutions (Hadoop Ecosystem, MapReduce, Pig, Hive, DataStax, etc.) in support of a screening and vetting mission. More ❯
development/product management environmenta Relevant experience within core java and spark Experience in systems analysis and programming of java applications Experience using big data technologies (e.g. Java Spark, hive, Hadoop) Ability to manage multiple/competing priorities and manage deadlines or unexpected changes in expectations or requirements Prior financial services/trade surveillance experience is desirable Strong analytical More ❯
do in person with client) Duration: 12 Months Required Skills:Programming Languages: Strong proficiency in Python, Java, and SQL. Big Data Frameworks: Deep understanding of Hadoop ecosystem (HDFS, MapReduce, Hive, Spark Cloud Data Warehousing: Expertise in Snowflake architecture, data manipulation, and query optimization. Data Engineering Concepts: Knowledge of data ingestion, transformation, data quality checks, and data security practices. Data More ❯
such as bash, Python, or Go Must have a DoD 8140/8570 compliance certification (i.e. Security+ certification) Preferred Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes More ❯
SCI with Full Scope Polygraph. Desired Qualifications: Experience with AWS Data Management services (Elastic Map Reduce, Lambda, Kinesis). Experience with SAFe development practices. Experience with Python, SpringBoot, Hibernate, Hive, Pig, or C++. More ❯
GPU workloads, and distributed storage, including Cloudera • Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL • Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL • Experience with visualization packages, including Plotly, Seaborn, or ggplot2 About Blue Sky Blue Sky Innovative Solutions (Blue Sky) assists its federal, state and local More ❯
Experience on starting the front-end buildout from scratch by coordinating across multiple business and technology groups o Experience building complex single-page applications using Abinitio/Hadoop/Hive/Kafka/Oracle and modern MOM technologies o Experienced with Linux/Unix platform o Experience in SCMs like GIT; and tools like JIRA o Familiar with the More ❯
R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline More ❯
expertise in Hadoop, Spark, and related technologies YOUR PROFILE Expertise on Hadoop, Spark & Scala Experience in developing complex data transformation workflows(ETL) using Big Data Technologies Good expertise on HIVE, Impala, HBase Hands on experience to finetune Spark jobs Experience with Java and distributed computing ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to More ❯
normalization, etc. Proficiency in Java/Spring web application development. Experience with Test Driven Development and Agile methodologies; Behavior Driven Development is a plus. Knowledge of Hadoop, Big Data, Hive, Pig, NoSQL is a plus, though most engineers with this background may have limited REST experience. Additional Information All your information will be kept confidential according to EEO guidelines. More ❯
