26 to 50 of 166 Remote Hadoop Jobs

Azure, GCP, Snowflake). Understanding of Data Mesh, Data Fabric, and product-led data strategies. Technical Knowledge: Familiarity with big data technologies (Apache Spark, Hadoop). Knowledge of programming languages such as Python, R, or Java. Experience with ETL/ELT processes, SQL, NoSQL databases, and DevOps principles. Understanding 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 ❯

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 ❯

based data systems Clear communicator, able to translate complex data concepts to cross-functional teams Bonus points for experience with: Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage More ❯

stories Experience with AWS ecosystem or other big data technologies such as EC2, S3, Redshift, Batch, AppFlow AWS: EC2, S3, Lambda, DynamoDB, Cassandra, SQL, Hadoop, Hive, HDFS, Spark, other big data technologies Understand, Analyze, design, develop, as well as implement RESTful services and APIs About Us: SPECTRAFORCE is one More ❯

of stakeholders and cross-functional teams, performing analysis of their data requirements and documenting it. Big data tools and stream-processing systems such as: Hadoop, Spark, Kafka, Storm, Spark-Streaming. Relational SQL and NoSQL databases, including Postgres and Cassandra. Experience designing and implementing knowledge graphs for data integration and More ❯

Clear and confident communicator in English Nice to Have Familiarity with Azure services like Data Factory, Data Lake, or Synapse Exposure to Apache Spark , Hadoop , or other distributed data frameworks Understanding of data governance , security , and compliance (e.g. GDPR 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 ❯

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 ❯

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 ❯

database systems (e.g., PostgreSQL, MySQL) Exposure to cloud platforms such as AWS, Azure, or GCP Experience with big data tools such as Spark and Hadoop Previous experience working with financial data, including understanding of financial metrics and industry trends #J-18808-Ljbffr More ❯

a related field. • 3+ experience as a Software Engineer with a strong focus on Data work. • Strong proficiency in leading big data technologies (e.g., Hadoop, Spark, Hive). • Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). • Strong problem-solving skills and attention to detail. • Excellent communication and More ❯

of coding challenges or competitions. Highly desirable skills: Familiarity with Agile practices in a collaborative team environment. Exposure to big data tools, such as Hadoop and Spark for handling large-scale datasets. Experience with cloud platforms like Microsoft Azure. Benefits Comprehensive, payments industry training by in-house and industry More ❯

compliance (GDPR). Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Data Modelling: Designing dimensional, relational, and hierarchical data models. Scalability & Performance: Building fault-tolerant, highly available data architectures. Security & Compliance: Enforcing More ❯

will be deployed You have experience in database technologies including writing complex queries against their (relational and non-relational) data stores (e.g. Postgres, Apache Hadoop, Elasticsearch, Graph databases), and designing the database schemas to support those queries You have a good understanding of coding best practices & design patterns and More ❯

infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use More ❯

vision, time-series, or recommender systems. Knowledge of data privacy and ethical AI frameworks (e.g., GDPR compliance). Experience with big data frameworks (Spark, Hadoop). Previous experience working in highly regulated industries (e.g., finance, healthcare, public sector). What We Offer Competitive salary and performance-based bonuses. Flexible More ❯

Machine Learning models and applications Knowledge of cloud-based Machine Learning engines (AWS, Azure, Google, etc.) Experience with large scale data processing tools (Spark, Hadoop, etc.) Ability to query and program databases (SQL, No SQL) Experience with distributed ML frameworks (TensorFlow, PyTorch, etc.) Familiarity with collaborative software tools (Git More ❯

communication skills to translate data insights into business value Preferred Qualifications Experience with serverless architectures on AWS. Familiarity with big data technologies (e.g. Spark, Hadoop). Knowledge of data governance and compliance best practices. Background in software development or experience with APIs for data integration About You Excellent communication More ❯

Warehouse solution with an emphasis on on Greenplum In depth knowledge of Greenplum’s parallel processing and integration with big data frameworks such as Hadoop Strong understanding of data warehousing concepts and analytical query design Strong understanding of Kubernetes architecture (nodes, pods, services, deployments, etc.), knowledge of Kubernetes API More ❯

effort and identifying dependencies Excellent communication skills Familiarity with Python and its numerical, data and machine learning libraries Favourable If You Have Experience of Hadoop and Jenkins Azure Certified AWS Certified Familiarity with Java This position is a full time, permanent role and applicants must have (or be able More ❯

and large datasets. Git - Version control is second nature. You know how to branch, commit, and collaborate cleanly. Bonus Skills (nice to have): Apache Hadoop, Spark/Docker, Kubernetes/Grafana, Prometheus, Graylog/Jenkins/Java, Scala/Shell scripting Team ️ Our Tech Stack We build with the More ❯

and large datasets. Git - Version control is second nature. You know how to branch, commit, and collaborate cleanly. Bonus Skills (nice to have): Apache Hadoop, Spark/Docker, Kubernetes/Grafana, Prometheus, Graylog/Jenkins/Java, Scala/Shell scripting Team ️ Our Tech Stack We build with the More ❯

and large datasets. Git - Version control is second nature. You know how to branch, commit, and collaborate cleanly. Bonus Skills (nice to have): Apache Hadoop, Spark/Docker, Kubernetes/Grafana, Prometheus, Graylog/Jenkins/Java, Scala/Shell scripting Team ️ Our Tech Stack We build with the More ❯

and statistical modeling Experience with programming languages (Python, R, SQL) Strong understanding of data visualization tools (Tableau, Power BI) Experience with big data technologies (Hadoop, Spark) Strong understanding of data mining techniques and data modeling Excellent problem-solving and communication skills Qualifications Master's degree in Data Science, Computer More ❯