1 to 25 of 89 Apache Airflow Jobs in the North West

Databrew. They are experienced in developing batch and real-time data pipelines for Data Warehouse and Datalake, utilizing AWS Kinesis and Managed Streaming for Apache Kafka. They are also proficient in using open source technologies like Apache Airflow and dbt, Spark/Python or Spark/Scala More ❯

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 design … following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda Working experience with Terraform Experience in creating workflows for Apache Airflow About Roku Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build More ❯

working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in More ❯

help you get there: Understanding of cloud computing security concepts Proficiency with IaC tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with More ❯

help you get there: Understanding of cloud computing security concepts Proficiency with IaC tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with More ❯

help you get there: Understanding of cloud computing security concepts Proficiency with IaC tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with More ❯

help you get there: Understanding of cloud computing security concepts Proficiency with IaC tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with More ❯

with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as More ❯

with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as More ❯

with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as More ❯

Gateway, and Python to maintain and enhance integrations. Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … Phase 2: Legacy Pipeline Migration (Months 2-3) Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … beneficial for interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is More ❯

Gateway, and Python to maintain and enhance integrations. Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … Phase 2: Legacy Pipeline Migration (Months 2-3) Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … beneficial for interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is More ❯

Gateway, and Python to maintain and enhance integrations. Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … Phase 2: Legacy Pipeline Migration (Months 2-3) Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … beneficial for interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is More ❯

Gateway, and Python to maintain and enhance integrations. Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … Phase 2: Legacy Pipeline Migration (Months 2-3) Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … beneficial for interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is More ❯

Gateway, and Python to maintain and enhance integrations. Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … Phase 2: Legacy Pipeline Migration (Months 2-3) Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. … beneficial for interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is More ❯

data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security More ❯

data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security More ❯

data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security More ❯

documentation base, as well as contribute to it Strong software engineering, systems architecture, and unit testing capabilities and experience using pipeline tools such as Apache Airflow, Amazon SageMaker, or similar Familiarity with SQL and experience with AWS or other cloud providers Experience with GitLab CI/CD pipelines More ❯

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 least one other programming language such as Java, or Scala Willingness to mentor more junior members of More ❯

improve engagement and performance Python (for scripting and data wrangling) SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment) Seniority level Seniority level More ❯

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 least one other programming language such as Java, or Scala. Willingness to mentor more junior members of the More ❯

operational targets crossing multiple departments Nice-to-have experience: Infrastructure as code (Terraform, cloud formation etc...) Cloud platforms (Aws, Azure, GCP etc..) Data orchestration (Airflow, Dagster etc...) The Team The Data & Analytics department serves as the central hub for data engineering and insights across our organization, comprising four essential More ❯

processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication More ❯

PySpark and AWS Strong experience in designing, implementing, and debugging ETL pipelines Expertise in Python, PySpark, and SQL In-depth knowledge of Spark and Airflow Experience in designing data pipelines using cloud-native services on AWS Extensive knowledge of AWS services Experience in deploying AWS resources using Terraform Hands More ❯