1 to 25 of 90 Hadoop Jobs

of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and More ❯

ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). Understanding of data governance, security, and compliance best practices. Strong problem-solving skills and experience working in agile environments. Desirable: Experience with Docker/Kubernetes, streaming data (Kafka More ❯

ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). Understanding of data governance, security, and compliance best practices. Strong problem-solving skills and experience working in agile environments. Desirable: Experience with Docker/Kubernetes, streaming data (Kafka More ❯

data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data frameworks (e.g. Apache Spark, Hadoop). Strong knowledge of data governance, security, and compliance. Ability to lead technical projects and mentor junior engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience More ❯

data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data frameworks (e.g. Apache Spark, Hadoop). Strong knowledge of data governance, security, and compliance. Ability to lead technical projects and mentor junior engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience More ❯

Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt More ❯

communication skills We're excited if you have 7+ years of experience delivering multi tier, highly scalable, distributed web applications Experience working with Distributed computing frameworks knowledge: Hive/Hadoop, Apache Spark, Kafka, Airflow Working with programming languages Python , Java, SQL. Working on building ETL (Extraction Transformation and Loading) solution using PySpark Experience in SQL/NoSQL database design More ❯

in data engineering, with a strong emphasis on data design and architecture. Proven proficiency in SQL and experience with relational databases. Practical experience with big data technologies such as Hadoop or Spark. In-depth understanding of data warehousing concepts and ETL frameworks. Familiarity with cloud platforms including AWS, Azure, or GCP. Strong analytical and problem-solving skills, with the More ❯

Azure Data FactoryExperience in Unix/Linux environments and shell scripting.Excellent problem-solving, analytical, and communication skills. Preferred SkillsExperience with Informatica Intelligent Cloud Services (IICSExposure to big data platforms (Hadoop, Spark) or data lake architectures.Familiarity with Agile or Scrum methodologies.Background in finance, healthcare, or retail data environments is a plus.Experience integrating data from cloud platforms (AWS, Azure, GCP More ❯

problem-solving skills, and the ability to think critically and analytically High 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 Please can you send me a copy of your CV if More ❯

problem-solving skills, and the ability to think critically and analytically High 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 Please can you send me a copy of your CV if More ❯

such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business problems effectively. Strong foundational knowledge in mathematics and More ❯

tools and libraries (e.g., Power BI) Background in database administration or performance tuning Familiarity with data orchestration tools, such as Apache Airflow Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions. Strong communication More ❯

highly desired) in CS, IT or a quantitative data field of study OR equivalent exp. certifications (e.g., Microsoft Certified: Azure Database Administrator Associate), experience with Big Data technologies (Spark, Hadoop), and DevOps More ❯

Flows, Conduct>It, Express>It, Metadata Hub, and PDL. Hands-on experience with SQL , Unix/Linux shell scripting , and data warehouse concepts . Familiarity with big data ecosystems (Hadoop, Hive, Spark) and cloud platforms (AWS, Azure, GCP) is a plus. Proven ability to troubleshoot complex ETL jobs and resolve performance issues. Experience working with large-scale datasets and More ❯

Security project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real More ❯

tools and libraries (e.g., Power BI) · Background in database administration or performance tuning · Familiarity with data orchestration tools, such as Apache Airflow · Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing · Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions. · Strong communication More ❯

years' experience working with dbt.3+ years of experience with orchestration tooling (Airflow, Prefect, Dagster).Strong programming skills in languages such as Python or Java.Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, Data Fusion).Familiarity with data governance tooling such as Monte Carlo, Atlan.Excellent problem-solving and analytical skills.Strong communication and interpersonal skills.Ability to work More ❯

with Trino/Starburst Enterprise/Galaxy administration and CLI operations Container Orchestration : Proven track record with Kubernetes/OpenShift in production environments Big Data Ecosystem : Strong background in Hadoop, Hive, Spark, and cloud platforms (AWS/Azure/GCP) Systems Architecture : Understanding of distributed systems, high availability, and fault-tolerant design Security Protocols : Experience with LDAP, Active Directory More ❯

with Trino/Starburst Enterprise/Galaxy administration and CLI operations Container Orchestration : Proven track record with Kubernetes/OpenShift in production environments Big Data Ecosystem : Strong background in Hadoop, Hive, Spark, and cloud platforms (AWS/Azure/GCP) Systems Architecture : Understanding of distributed systems, high availability, and fault-tolerant design Security Protocols : Experience with LDAP, Active Directory More ❯

infrastructures (AWS/GCP/Azure) Hands on experience with Unix based command line and DevOps tools (Git, Docker, Kubernetes) Hands on experience with big data technologies (e.g. Spark, Hadoop, Databricks) Experience with coaching/mentoring other engineers Prior experience in Management Consulting is a strong plus Willingness to travel and work at local and international clients Fluency in More ❯

/GCP/Azure). Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes). Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks). Experience with coaching/mentoring other engineers. Prior experience in Management Consulting is a strong plus. Willingness to travel and work at local and international clients. Fluency More ❯

Experience with cloud based infrastructures (AWS/GCP/Azure). Knowledge of Unix command line and DevOps tools (Git, Docker, Kubernetes). Experience with big data technologies (Spark, Hadoop, Databricks). Experience coaching/mentoring other engineers. Prior experience in management consulting is a strong plus. Willingness to travel and work at local and international clients. Fluency in More ❯

/GCP/Azure). Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes). Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks). Experience with coaching/mentoring other engineers. Prior experience in Management Consulting is a strong plus. Willingness to travel and work at local and international clients. Fluency More ❯

Information Systems, or a related discipline. Desirable Experience Background or internship experience within financial services or technology. Exposure to Java. Experience managing on-premise or hybrid data infrastructure (e.g. Hadoop). Knowledge of workflow orchestration tools such as Apache Airflow. Postgraduate degree in Computer Science, Data Science, or related field. Benefits Comprehensive health, dental, and vision coverage Flexible approach More ❯