1 to 25 of 102 Apache Airflow Jobs

in SQL, NoSQL, Blob,Delta Lake, and other enterprise scale data stores. Data Orchestration - Enterprise scale usage of technology such as Azure Data Factory, Apache Airflow, Logic Apps, DBT, SnapLogic, Spark or similar tools. Software Tooling - GIT/GitHub, CI/CD, deployment tools like Octopus, Terraform infrastructure more »

and you’ll build the solution. They work in a mix of SQL, Python programming but also operate with modern tech such as Snowflake, Airflow, DBT, Kubernetes/Docker and cubeJS whilst also using Tableau CRM and Jupyter notebooks for gaining data insights. If you think there’s a … to be a SQL Server expert with strong architecture skills and also strong skills with Python, and DBT. The more experience with things like Airflow, cubeJS and Snowflake, plus other data viz tools would be a huge plus. Total compensation for this role is up to £250,000, split more »

Role: Senior Data Engineer 💾 Stack: Snowflake, AWS, Airflow, DBT and Tableau Excited to combat climate change and make a real impact? 🌍 We've teamed up with a startup dedicated to creating a net-zero product! 🚀 Over the past three years, they've built an outstanding in-house engineering team … Process: Two stages 💸 Salary: Base salary can go to £85k (bonus + up to 22% pension) 📊Key Skills Required: Experience in Snowflake (essential), AWS, Airflow, DBT and Tableau Experience in Agile environment Experience in start-up or scale-up environment No recent CV handy? No sweat! Just shoot me more »

Maven, Jenkins, GitHub, etc. Experience with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and data modeling Experience with building large-scale systems with extensive knowledge in data warehousing solutions. Developing prototypes and more »

testing, and maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics more »

Proven experience in MLOps and deploying machine learning models on Kubernetes. Proficiency in cloud technologies, AWS, GCP, Azure Experience with data orchestration tools (e.g., Apache Airflow). Familiarity with Terraform for CI/CD and infrastructure as code. Strong programming skills in software development. A cloud-agnostic mindset more »

Degree in Computer Science, Engineering, Management Information Systems, Mathematics, a related field, or equivalent work experience (3+ years) Experience in: Database orchestration technologies, specifically Airflow and/or DBT Experience with streaming data architectures, specifically Kafka Knowledge of semi structured data: Parquet, Avro, JSONA deep understanding of AWS Cloud more »

field (STEM) Technical proficiency in cloud-based data solutions (AWS, Azure or GCP), engineering languages including Python, SQL, Java, and pipeline management tools e.g., Apache Airflow. Familiarity with big data technologies, Hadoop, or Spark. If this opportunity is of interest, or you know anyone who would be interested in more »

spanning a number of systems At least 10 years of relevant experience Hands-on in-depth experience in the following: Snowflake/DBT/Airflow Background/working experience in the following: Azure Power BI/DAX Traditional SQL (SqlServer, MySql, Postgres) JIRA, Confluence, (Github/BitBucket) Azure Data more »

mandatory, familiarity with the following technologies and tools would be advantageous: Dagster (or similar Orchestration Tools) : Experience with Dagster or other orchestration tools like Airflow for managing complex data workflows and pipelines. Qlik Sense Cloud (or similar Reporting Tools) : Knowledge of Qlik Sense Cloud or similar reporting tools such more »

using Docker, Kubernetes and Cloud services. Experience with Azure stack will be an asset. Experience designing and implementing event-driven/microservices applications using Apache Kafka, Flink, etc. Exposure to model deployment and serving tools like Seldon Core, KServe, etc. Experience with drift detection and adaptation techniques as well … and familiarity with tools to manage infrastructure as code, like Terraform and package managers like Helm Charts. Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo Workflows. Outstanding communication skills, ability to convey complex technical concepts to non-technical stakeholders and collaborate with cross-functional teams. A more »

Role: Azure Platform Architect Job Type: Permanent Location: London, UK Are you a Azure Platform Architect with a passion for architecting data solution in cloud ? We would love to hear from you! Careers at TCS: It means more TCS is more »

of the company's data infrastructure. You will work with some of the most innovative tools in the market including Snowflake, AWS (Glue, S3), Apache Spark, Apache Airflow and DBT!! The role is hybrid, with 2 days in the office in central London and the company is … Experience developing and maintaining data pipelines from scratch Data modelling, data integration and transformation experience Hands on work with tools such as Snowflake, AWS, Airflow, and DBT Proficiency in data manipulation, scripting and automation with Python Desirable: Experience leading teams Version control systems such as Git or Bitbucket Agile more »

our customers. Skills and experience we’re looking for: Experience of creating advanced visualisations in Tableau. Experience in SQL and Python. Experience of AWS, Airflow, S3 and working with Snowflake in a large complex organisation is advantageous. Experience of establishing processes to identify and managing issues, in data or more »

analysis solutions. You will collaborate closely with cross-functional teams to design, implement, and optimize Python-based applications, with a particular emphasis on utilizing Airflow and also pandas for efficient data manipulation and analytics. This role offers an exciting opportunity to contribute to the transformation of their business through … reviews, identify areas for improvement, and implement best practices to ensure code quality and maintainability. Stay updated on emerging trends and technologies in Python, Airflow, pandas, and data engineering, and incorporate them into our development practices. Qualifications Proven experience as a Python Developer, with a strong focus on data … analytics. Solid understanding of pandas for data manipulation and analysis in big data environments. Proficiency in SQL for querying and manipulating relational databases. Strong Airflow experience Strong problem-solving skills and the ability to work effectively in a collaborative team environment. Excellent communication skills with the ability to convey more »

methodologies such as CI/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 »

VERY OCCASIONAL TRAVEL TO CLIENT SITES AND OFFICE. Would you like to the opportunity to expand your skillset across Java, Python, Spark, Hadoop, Trino & Airflow across the Banking & Financial Services industries? How about if you worked with an Innovation Partner of the Year Winner (2023 Oracle EMEA Partner Awards … trends and best practices, and share knowledge with the team. Qualifications You will have expertise within the following: Java, Python, Spark, Hadoop (Essential) Trino, Airflow (Desirable) Architecture and capabilities. Designing and implementing complex solutions with a focus on scalability and security. Excellent communication and collaboration skills. Additional Information Why more »

and transformation. 4. Develop and maintain ETL workflows, scripts, and data processing jobs using programming languages (e.g., Python, Java, Scala) and ETL tools (e.g., Apache Spark, Apache Airflow). 5. Identify and address data quality issues and implement data cleansing, validation, and enrichment processes. 6. Collaborate with more »

designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies. Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL … . Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc. more »

A commitment to mentoring and developing junior team members, coupled with a dedication to high standards in your work. Tech Stack : dbt, SQL, Snowflake, Airflow, AWS, Tableau. DE&I is also at the heart of the business and they strongly believe that ensuring diversity of background and experience will more »

Wave is currently representing a leading global embedded business finance provider, as we seek a Senior Machine Learning Engineer to join their team on a permanent basis! 📍Location: West London 💰Salary: Up to £100,000 + 15% Bonus Our client more »

existing systems and ingestion pipelines. Requirements: Proven experience working with Python or Java or C# Experience working with ELT/ELT technologies such as Airflow, Argo, Dagster, Spark, Hive Strong technical expertise, especially in data processing and exploration, with a willingness to learn new technologies. A passion for automation more »

Langchain, Semantic Kernel, and tools like MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency in pipeline orchestration with tools like Airflow, Kubeflow, and Argo . Exceptional communication skills, with the ability to articulate complex statistical concepts clearly. Personal Competencies: A results-oriented professional with a more »

for advanced content analysis and indexing & developing RAG services . Experience in managing data workflows and Kubernetes clusters on AKS, utilizing tools such as Airflow, Kubeflow, Argo, and Dagster. Familiarity using scripting languages and tools such as Bash, PowerShell, Azure CLI, Terraform, and Helm Charts. Additional Information Location : This more »

experience working in cross-functional agile teams. Technologies such as Docker and orchestration tools like Kubernetes for containerized deployments. Workflow management tools such as Airflow for orchestrating complex data pipelines and ETL processes. Certifications in Azure cloud services and data engineering technologies, demonstrating expertise and proficiency in the Azure more »