Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies more »
data engineering technology stack compatible with AWS. Experience with web scraping and other data ingestion methods and tools. Knowledge of distributed computing frameworks (Hadoop, Spark, Hive, Presto). Experience with data orchestration tools (Airflow, Orchestra, Azkaban). Expertise in cloud data warehousing and core data modelling concepts. Proficiency in more »
platforms - preferably in GCP - and experience with container orchestration technologies such as Kubernetes. Strong background in distributed computing and familiarity with technologies like Hadoop, Spark, Kafka, and distributed cache systems (Hazelcast, Redis). Experience with database management and proficiency in SQL and NoSQL databases. Knowledge of monitoring and logging more »
data access, and data storage techniques. Excellent problem-solving skills and the ability to think algorithmically. Desirable Skills: Knowledge of big data technologies (Hadoop, Spark, Kafka) is highly desirable. Familiarity with data governance and compliance requirements. more »
as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem-solving skills and the ability to think critically and creatively. Excellent analytical skills with more »
value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from more »
or hedge fund industry. Technical Skills: Proficiency in Python and SQL. Experience with relational and NoSQL databases. Knowledge of big data frameworks (e.g., Hadoop, Spark, Kafka). Understanding of financial markets and trading systems. Strong analytical, problem-solving, and communication skills. Familiarity with DevOps tools and practices. This is more »
/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills: · Skilled with Python or PySpark · Exposure to cloud technologies (Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka) · Experience with Big Data solutions or Relational DB. · Experience in Financial Service Industry is a bonus. more »
Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a plus. Proficient in SQL and experience with relational databases. Strong analytical and problem-solving skills, with a keen attention to detail. more »
etc). Experience with SQL and query design on large, complex datasets. Experience with cloud and big-data tools and frameworks like Databricks/Spark, Airflow, Snowflake, etc. Expertise designing and developing with distributed data processing platforms like Databricks/Spark. Experience using ELT/ETL tools such as more »
Swansea, Neath Port Talbot, Wales, United Kingdom Hybrid / WFH Options
Inspire People
processing, and analytics. Programming Skills: Proficiency in Python, SQL, and other relevant programming languages. Big Data Technologies: Experience with big data technologies such as Apache Spark. Data Warehousing: Strong knowledge of data warehousing concepts and solutions. Problem-Solving: Excellent problem-solving skills with a detail-oriented approach. Leadership: Proven more »
Poplar, England, United Kingdom Hybrid / WFH Options
Penna
Solid experience with programming languages like Python and proficiency in SQL Experience working with cloud platforms (e.g., Azure, GCP) and big data technologies like Spark Working knowledge of ETL and ELT frameworks and tools like dbt Working knowledge of Version Control and CICD pipelines Hiring, developing, and retaining cyber more »
engineers of varying levels of experience. Flexibility and willingness to adapt to new software and techniques. Nice to Have Experience working with projects in ApacheSpark, Databricks of similar. Expert cloud platform knowledge, e.g. Azure What will be your key responsibilities? A technical expert and leader on the more »
engineers of varying levels of experience. Flexibility and willingness to adapt to new software and techniques. Nice to Have Experience working with projects in ApacheSpark, Databricks of similar. Expert cloud platform knowledge, e.g. Azure What will be your key responsibilities? A technical expert and leader on the more »
with ETL processes and tools. =Knowledge of cloud platforms (e.g., GCP, AWS, Azure) and their data services. =Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. =Understanding of AI tools like Gemini and ChatGPT is also a plus. =Excellent problem-solving and communication skills. =Ability to work more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra • MySQL, SQL Server, Oracle, Snowflake, PostgreSQL and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary more »
to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in more »
management. Cloud Platform : AWS for cloud infrastructure. Programming Languages : JavaScript for front-end development and Java for back-end processes. Big Data Technologies : Hadoop, Spark, or Kafka for handling large-scale data processing. What We Need from You Essential Skills: Technical Proficiency : Expertise in React.js, front-end technologies (JavaScript more »
complex data warehouses and/or data lakes. Familiarity with cloud-based analytics platforms such as AWS, Azure, Snowflake, Google Cloud Platform (Big Query), Spark, and Splunk. Proficiency in SQL and experience using one or more of the following languages: R, Python, Scala, and Julia, including relevant frameworks/ more »
Modelling. Experience with at least one or more of these programming languages: Python, Scala/Java Experience with distributed data and computing tools, mainly ApacheSpark & Kafka Understanding of critical path approaches, how to iterate to build value, engaging with stakeholders actively at all stages. Able to deal more »
with Git for version control and project management, alongside some knowledge of Linux/Shell. data platform familiarity - previous experience of working with both ApacheSpark and MapReduce data processing and analytics frameworks. and reporting expertise - experience with Tableau, Power BI, Excel alongside notebooks for experiment documentation. What more »
design and coding skills (e.g. Python, Scala, JavaScript). Experience with Microsoft or AWS data stack e.g. Microsoft Azure Data Lake, Hadoop (preferably with Spark), Cosmos DB, HDInsight/HBase, MongoDB, Redis, Azure Table/Blob stores etc. Exposure to tools like SAP technologies and Alteryx always useful. Experience more »
APIs Messaging systems Python Java Databases and SQL Data warehousing Data modeling Data governance Cloud platforms and services (e.g., AWS) Big data technologies (e.g., Spark, Kafka) Continuous Data Integrity/Testing platforms If you are looking for a new path where you get to work on some amazing projects more »
Platforms Must have 8+ years' Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source). Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management) Must have 3+ more »
