1 to 25 of 126 Fivetran Jobs

BI and Data Architecture. Expertise in modern BI and Data platforms like Snowflake, BigQuery, Redshift, Power BI. Background in ETL/ELT tools and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud solutions (Azure, AWS, Google). #J-18808-Ljbffr More ❯

advantageous. Knowledge of advanced machine learning algorithms and statistics. Experience in Natural Language Processing. CI/CD knowledge. Experience with JIRA/Asana for project management. Familiarity with Airflow, Fivetran, Matillion, or other ETL/ELT tools. Agile working methodology. Why Choose BI:PROCSI? BI:PROCSI offers a unique work environment focused on innovation and personal growth. As a rapidly More ❯

dbt (incl. query efficiency and optimization) Expert experience of Cloud Data Platforms (AWS, Snowflake and/or Databricks) Qualification preferred, not mandatory Significant experience of Automation and Integrations tools (FiveTran, Airflow, Astronomer or similar) Significant experience with IoC tools (Terraform, Docker, Kubernetes or similar) Significant experience with CI/CD tools (Jenkins, GitHub Actions, CircleCI or similar) Preferred Experience: Experience More ❯

dbt (incl. query efficiency and optimization) Expert experience of Cloud Data Platforms (AWS, Snowflake and/or Databricks) Qualification preferred, not mandatory Significant experience of Automation and Integrations tools (FiveTran, Airflow, Astronomer or similar) Significant experience with IoC tools (Terraform, Docker, Kubernetes or similar) Significant experience with CI/CD tools (Jenkins, GitHub Actions, CircleCI or similar) Preferred Experience: Experience More ❯

Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Nice to Have Experience Understanding of various data architecture paradigms (e.g., Data Lakehouse, Data Warehouse, Data Mesh) and their applicability to different More ❯

scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Ideal Background: Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools … e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion Architecture, Databricks, and knowledge of data governance or experience in high-growth environments This is a fantastic opportunity More ❯

and support of data solutions for Wolfspeed business partners, including configuration, administration, monitoring, performance tuning, debugging, and operationalization. Build and maintain data solutions using Snowflake, dbt (data build tool), Fivetran , Azure Cloud (storage, VMs, containers, Azure Data Factory), Python, Docker and SQL. Participate in the development lifecycle using Agile/DevOps methodologies using Azure DevOps. Translate simple to complex requirements … on data. Hands-on skills with a programming language such as Python, Java, Go, etc. Public cloud experience (Azure, AWS or GCP) W riting complex SQL Queries ETL tools ( Fivetran , Azure Data Factory) or writing custom data extraction applications , Data Modeling, Data Warehousing and working with large-scale datasets . Experience leveraging DevOps and lean development principles such as Continuous More ❯

Architecture Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI etc Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow Experienced in Cloud based solutions (Azure, AWS or Google More ❯

Architecture. Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI, etc. Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud-based solutions (Azure, AWS, or Google). #J-18808-Ljbffr More ❯

or Looker. Ability to translate complex data into clear insights for non-technical stakeholders. What Will Make You Stand Out: Experience with modern data stack tools such as dbt, Fivetran, and Snowflake. Familiarity with Azure cloud services and automation frameworks. Understanding of data challenges in large-scale retail environments. Clear, confident communicator who can simplify technical findings for business users. More ❯

US) Our values are Trust, Efficiency, and Drive. What will I be doing? Design, build, and maintain scalable and reliable data pipelines. Manage Zeelo's serverless centralized data architecture (Fivetran, BigQuery, dbt, and other tools) that supports analytical functions across the business. Design, build, and maintain ETL, ELT and other data pipelines for purposes to support analytics use cases. Identify More ❯

scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift … Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion Architecture, Databricks, and knowledge of data governance or experience in high-growth More ❯

scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift … Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion Architecture, Databricks, and knowledge of data governance or experience in high-growth More ❯

and maintaining scalable data models and pipelines to ensure clean, well-structured data for analytics and reporting Implementing and maintaining ELT/ETL processes using tools like DBT and Fivetran Owning and optimising data warehousing ( Snowflake ) and ensuring efficient data management Collaborating with software engineers, product managers and business stakeholders to understand data needs and deliver high-quality, accessible datasets … At least intermediate proficiency in Python and Git Experience designing, building and maintaining data pipelines Familiarity with data warehousing architecture and implementation Visualisation experience, ideally with Tableau Experience with Fivetran and Snowflake Familiarity with cloud infrastructure (ideally AWS) Experience with Terraform and Docker Please note: unfortunately, this role does not offer VISA sponsorship. Seniority level Mid-Senior level Employment type More ❯

developing and optimising data pipelines and infrastructure to ensure efficient data flow across the business. Key Responsibilities Develop, support and optimise robust data solutions using tools like Snowflake, dbt, Fivetran, and Azure Cloud services Collaborate with cross-functional teams to translate business needs into actionable data architecture Design and manage data pipelines and integration workflows, ensuring performance and scalability Engage … Python, Java, Go) Cloud experience (preferably Azure, though AWS or GCP also valuable) Solid grasp of SQL and experience handling large data sets Familiarity with ETL tools such as Fivetran and Azure Data Factory Experience with modern data pipeline design and stream processing Understanding of CI/CD pipelines and experience with tools like Azure DevOps or GitHub/GitLab More ❯

a single source of truth. Contributing to the architectural design of the new Enterprise Data Platform. Contributing to development best practices. Development of data ingestion/transformation pipelines using Fivetran, DBT and Gitlab. Creation of management information dashboards. Work with business analysts and end-users to plan and implement feature enhancements and changes to existing systems, processes and data warehouses. More ❯

in Python and SQL for data processing, analysis and automation. Proficiency in building and maintaining batch and streaming ETL/ELT pipelines at scale, employing tools such as Airflow, Fivetran, Kafka, Iceberg, Parquet, Spark, Glue for developing end-to-end data orchestration leveraging on AWS services to ingest, transform and process large volumes of structured and unstructured data from diverse More ❯

management skills, with the ability to engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem, including: Data Integration: Fivetran, HVR, Databricks, Apache Kafka, Google BigQuery, Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake More ❯

management skills, with the ability to engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem , including : Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake More ❯

management skills, with the ability to engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem , including : Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake More ❯

management skills, with the ability to engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem , including : Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake More ❯

and hard work to the role. Key Responsibilities: Design, develop, and support data solutions, including performance tuning, troubleshooting, and system administration. Build and maintain data solutions using Snowflake, dbt, Fivetran, Azure Cloud, Python, Docker, and SQL. Participate in the development lifecycle using Agile/DevOps methods and Azure DevOps. Translate requirements into actionable tasks. Serve as a data integration expert … role. Proficiency in programming languages like Python, Java, or Go. Experience with cloud platforms (Azure, AWS, or GCP). Strong skills in writing SQL queries. Experience with ETL tools (Fivetran, Azure Data Factory) and working with large datasets. Familiar with DevOps principles and CI/CD practices using tools like Azure DevOps or GitHub. Experience in building modern data pipelines. More ❯

and hard work to the role. Key Responsibilities: Design, develop, and support data solutions, including performance tuning, troubleshooting, and system administration. Build and maintain data solutions using Snowflake, dbt, Fivetran, Azure Cloud, Python, Docker, and SQL. Participate in the development lifecycle using Agile/DevOps methods and Azure DevOps. Translate requirements into actionable tasks. Serve as a data integration expert … role. Proficiency in programming languages like Python, Java, or Go. Experience with cloud platforms (Azure, AWS, or GCP). Strong skills in writing SQL queries. Experience with ETL tools (Fivetran, Azure Data Factory) and working with large datasets. Familiar with DevOps principles and CI/CD practices using tools like Azure DevOps or GitHub. Experience in building modern data pipelines. More ❯

set up monitoring/logging, and support architecture decisions What You Bring Strong SQL & Python (PySpark); hands-on with GCP or AWS Experience with modern ETL tools (dbt, Airflow, Fivetran) BI experience (Looker, Power BI, Metabase); Git and basic CI/CD exposure Background in a quantitative field; AI/ML interest a plus Bonus: Experience in manufacturing/logistics More ❯

set up monitoring/logging, and support architecture decisions What You Bring Strong SQL & Python (PySpark); hands-on with GCP or AWS Experience with modern ETL tools (dbt, Airflow, Fivetran) BI experience (Looker, Power BI, Metabase); Git and basic CI/CD exposure Background in a quantitative field; AI/ML interest a plus Bonus: Experience in manufacturing/logistics More ❯