1 to 25 of 105 Hadoop Jobs

their data services. Solid understanding of data modeling, schema design, and data warehousing concepts. Nice To Have Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Knowledge of streaming data platforms such as Apache Flink or AWS Kinesis. Hands-on experience with data visualization tools like Tableau ...

their data services. Solid understanding of data modeling, schema design, and data warehousing concepts. Nice To Have Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Knowledge of streaming data platforms such as Apache Flink or AWS Kinesis. Hands-on experience with data visualization tools like Tableau ...

n.Cloud Storag e: For scalable and durable object storag e.Cloud Composer (Apache Airflow ): For workflow orchestration and pipeline managemen t.Cloud Datapro c: For managed Hadoop and Spark clusters (good to have ).Cloud SQL/Cloud Spanner/Cloud Bigtabl e: Experience with relational and NoSQL database s.Strong proficiency ...

cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform ...

ability to think critically and analytically. Strong experience in documentation and data dictionaries. Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark. Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders. ...

/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift Experience in snowflake is an added bonus. Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, Spark Ability to drive, contribute to, and communicate solutions to technical product challenges Ability to roll ...

securing data assets. Strong knowledge of data modeling, ETL processes, and data warehousing concepts. Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data governance and data security practices. Databricks Certified Associate. Excellent problem-solving skills and attention to detail. Strong communication ...

4+ years' experience in data engineering and big data. At least 2 years' of professional services experience interacting directly with clients. Big data tools: Hadoop, Spark, Kafka, etc. Relational SQL and NoSQL databases and experience working with relational databases AWS cloud services: EC2, S3, RDS, Glue, Step Functions, Lamda ...

complex data flow issues and improve resilience, performance, and operational throughput Utilize SQL, Python/Scala, cloud services, and big data tools (e.g., Spark, Hadoop) to support advanced analytics, AI/ML, and decision advantage missions Additional duties as assigned or required What we are looking for 9 years ...

learning, and neural networks. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with data management and big data technologies (e.g., Spark, Hadoop, SQL, NoSQL databases). Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Strong analytical and problem-solving skills. ...

Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative ...

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various ...

remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/ ...

remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/ ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...

data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift ...