51 to 75 of 141 Hadoop Jobs

Scala. Strong knowledge of SQL and experience with data warehousing solutions. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark). Excellent problem-solving skills and a keen eye for detail. A collaborative spirit and a genuine passion for data! Our Client's Benefits ...

country where you are applying, as well as apply for travel visas as required by travel needsPreferred qualifications • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Experience generating new knowledge or creating innovative solutions for a firm • Relevant industry expertise • Working knowledge ...

experience (focus on machine learning): SQL and Python’s Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS, and SAS are considered nice-to-haveStrong understanding of machine learning methods and experience applying them to complex, data ...

such as Python or Go.Expertise in constructing highly available and fault-tolerant big data environments in the cloud, utilizing NoSQL and RDMS technologies like Hadoop, Spark, PostgreSQL, and cloud-based management tools such as EMR, Athena, and RDS.Ability to implement systems with a security-first mindset, adhering to firm ...

complex business requirements and render them as prototype systems with quick turnaround time.Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server), NoSQL (such as DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data ...

based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards ...

based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards ...

based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards ...

business objectives.A bit about you: Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers.Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.Strong knowledge in at least a few of the following ...

including Cortex AI, data sharing, Snowpark, and Native AppsFamiliarity with financial services cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop)Experience with real-time data architectures, streaming ingestion, and event-driven data platforms in regulated environmentsBackground in data mesh, data product design, or enterprise ...

/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus.Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.Connect to your business - Technology ...

ownership Qualifications Strong experience with DevOps & IaC tooling - Terraform, CI/CD pipelines, Git, Jenkins , Harness Strong experience of developing on Apache Spark/Hadoop Strong experience with AWS cloud services including AWS Glue, S3, Step Strong experience building data pipelines and data lake Experience of the full development ...

ownership Qualifications Strong experience with DevOps & IaC tooling - Terraform, CI/CD pipelines, Git, Jenkins , Harness Strong experience of developing on Apache Spark/Hadoop Strong experience with AWS cloud services including AWS Glue, S3, Step Strong experience building data pipelines and data lake Experience of the full development ...

Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP). Solid academic record. Strong computer skills. Postgraduate studies and/or specialized courses ...

scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services ...

Application ownership Strong experience with DevOps & IaC tooling - Terraform, CI/CD pipelines, Git, Jenkins, Harness Strong experience of developing on Apache Spark/Hadoop Strong experience with AWS cloud services including AWS Glue, S3, Step Strong experience building data pipelines and data lake Experience of the full development ...

test-driven approach.Creating code that is open by default and easy for others to reuse.Required SkillsExperience with Big Data technologies, such as Apache Hadoop, Spark or PigAWSApache NiFiPython or JavaBuilt on over a 70 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. ...

possibility of making serious money doing something you are passionate about.Follow me on Twitter for more roles and news @SebFintechSytems ENgineer – Security, Hadoop, SPark, debian, SELinux, Debian, puppet, ruby , python, kerberos ...

related fields. 5+ years of experience in Big Data; prior experience with Tier-1 Cloud Service Providers (CSPs) is highly preferred.Expertise in the Hadoop ecosystem and deep understanding of components like Spark, Flink, Elasticsearch, Doris, ClickHouse, and Trino.,Strong knowledge of big data architecture, including Data Lake (Iceberg, Hudi ...

related field, or experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in software development with object oriented language- Experience in cloud based solution (AWS or equivalent), system, network and operating system ...

Job Description:Salary Range: 50,000 - 61,950Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range ...

About the roleA Payments FinTech are currently seeking a Data Engineering Lead (Python, Hadoop & SQL) to lead and mentor a talented team of data engineers and scientists as they look to simplify the bank through developing innovative data driven solutions, allowing them to be commercially successful through insight ...

Strong technical skills in Python and SQL, including building data pipelines and working with large-scale datasets and distributed data platforms (e.g., BigQuery, Snowflake, Hadoop or similar) Experience applying data science, machine learning, or data engineering approaches within data-intensive domains such as Finance or Operations Proficiency with ...

models using Python A minimum of 3 years advanced SQL skills and experience working with relational databases, knowledge of big data systems such as Hadoop and Spark Full spectrum of project management skills: ideation, prioritization, communication, and delivery Ability to work with and explain technical concepts to non-technical ...

troubleshoot software. What you will need: Bachelor's degree in computer science or related discipline required. Experience with distributed data processing systems (e.g. Hadoop, Kafka). Hands on experience writing code with modern procedural programming languages such as Java and Python. Good understanding of design concepts and ability ...