24 of 24 Hadoop Jobs in Manchester

Platform (GCP) Strong proficiency in SQL and experience with relational databases such as 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 More ❯

GCP). Strong proficiency in SQL and experience with relational databases such as 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 More ❯

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 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 ❯

architecture, object-oriented design principles, and data structures Extensive experience in developing microservices using Java, Python Experience in distributed computing frameworks like - Hive/Hadoop, Apache Spark. Good experience in Test driven development and automating test cases using Java/Python Experience in SQL/NoSQL (Oracle, Cassandra) database 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 ❯

visualization tools such as Qlik, PowerBI, or Tableau. Familiarity with agile development frameworks and cloud technology, especially AWS. Knowledge of big data tools like Hadoop, Spark, and Kafka, as well as API best practices. Comfortable working and developing in tandem with AI tools. Why Choose Fitch: Hybrid Work Environment More ❯

solve problems with innovative ideas or coding challenges. Familiarity with Agile practices in a collaborative team setting. Exposure to big data tools, such as Hadoop and Spark, for managing large-scale datasets. Experience with cloud platforms like Microsoft Azure. Why Join? They have created a super collaborative culture offering More ❯

continuously. Ability to manage multiple tasks and projects under tight deadlines. Experience with software development (e.g., Python, Java, Scala) and Big Data tools (e.g., Hadoop, Spark), ideally in a cloud-based environment (AWS, Azure, or GCP). Proficiency in SQL. Experience using SAP SuccessFactors and certification in SuccessFactors modules. More ❯

dealing with streaming and batch compute frameworks like Spring Kafka, Kafka Streams, Flink, Spark Streaming, Spark. Experience with large-scale computing platforms such as Hadoop, Hive, Spark, and NoSQL stores. Exposure to UI development of visualisations in modern web apps (e.g. Streamlit, Retool) is nice to have. Experience with More ❯

or Amazon QuickSight. Programming Languages: Familiarity with Python or R for data manipulation and analysis. Big Data Technologies: Experience with big data technologies like Hadoop or Spark. Data Governance: Understanding of data governance and data quality management. A Bit About Us When it comes to appliances and electricals, we More ❯

working directly with business stakeholders to translate between data and business needs Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership Experience with statistical More ❯

excellence in more than one of these is highly desirable Good understanding of SQL and NoSQL (plus) database technologies; understanding of big data technologies: Hadoop, Spark (plus) Good knowledge of statistics: hypothesis testing, confidence intervals and A/B tests Ability to demonstrate good understanding of statistical models/ More ❯

Engineering, Mathematics, or related field. - Proven experience (5+ years) in developing and deploying data engineering pipelines and products - Strong proficiency in Python - Experienced in Hadoop, Kafka or Spark - Experience leading/mentoring junior team members - Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts More ❯

automation & configuration management Ansible (plus Puppet, Saltstack), Terraform, CloudFormation NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript Big data processing and analysis, e.g. Apache Hadoop (CDH), Apache Spark RedHat Enterprise Linux, CentOS, Debian or Ubuntu Java 8, Spring framework (preferably Spring boot), AMQP - RabbitMQ Open source technologies Experience of More ❯

coding and troubleshooting experience on Web Services and RESTful API. Strong SQL skills to work on relational databases. Knowledge in data warehousing (Snowflake/Hadoop), data lakes, and pipelines is a plus. Knowledge in various data analytics tools such as ThoughtSpot, Druid, and Superset. Knowledge of Scrum and ability More ❯

Social network you want to login/join with: Senior Data Platform Engineer, Stockport Client: easyJet Location: Stockport, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 1 Posted: 06.06.2025 Expiry Date: 21.07.2025 Job Description: Company Join More ❯

1 month ago Be among the first 25 applicants Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-lead, by equipping them with robust More ❯

required) and at least one other server-side language Solid hands-on experience with microservices and distributed systems Familiarity with data technologies like MySQL, Hadoop, or Cassandra Experience working with AWS services (RDS, EC2, Step Functions, Kinesis) is a plus Strong background in testing, KPIs/SLOs, and performance More ❯

required) and at least one other server-side language Solid hands-on experience with microservices and distributed systems Familiarity with data technologies like MySQL, Hadoop, or Cassandra Experience working with AWS services (RDS, EC2, Step Functions, Kinesis) is a plus Strong background in testing, KPIs/SLOs, and performance More ❯

required) and at least one other server-side language Solid hands-on experience with microservices and distributed systems Familiarity with data technologies like MySQL, Hadoop, or Cassandra Experience working with AWS services (RDS, EC2, Step Functions, Kinesis) is a plus Strong background in testing, KPIs/SLOs, and performance More ❯

Skills: Strong foundation in statistics and programming (R/Python). Experience with data preparation, visualisation, and model building. Knowledge of big data platforms (Hadoop, Spark) and SQL/NoSQL databases. Experience: 3+ years of experience as a Data Scientist or in a related role. Typical Responsibilities: Develop and … data is used, the big data ecosystem, and its major components. The data scientist must also demonstrate expertise with big data platforms, such as Hadoop and Spark, and master SQL and NoSQL. Leadership and professional development: Data scientists must be good problem solvers. They must understand the opportunity before More ❯

curiosity and interest in learning more. In this role, you will be using python (specifically pyspark) and Node.js for processing data, backed by various Hadoop stack technologies such as HDFS and HBase. MongoDB and Elasticsearch are used for indexing smaller datasets. Airflow & Nifi are used to co-ordinate the … have a curiosity and interest in learning more. You will be using Python (specifically pyspark) and Node.js for processing data You will be using Hadoop stack technologies such as HDFS and HBase Experience using MongoDB and Elasticsearch for indexing smaller datasets would be beneficial Experience using Airflow & Nifi to More ❯