351 to 375 of 889 Remote Databricks Jobs

Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud-based data architectures, including Data Lakehouse on Databricks. Experience with Databricks and Azure is highly desirable Source code management e.g. Azure DevOps, Git Agile delivery methodologies such as SCRUM or Kanban Knowledge and work management tools More ❯

position. Self-starter, who has experience with building data pipelines in the cloud. Excellent knowledge of PySpark, Python and SQL fundamentals. Familiar with Airflow, Databricks & BigQuery. Exposure with Palantir Foundry would be a huge plus but not essential. Ability to work on messy, complex real-world data challenges. Experience working More ❯

Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud-based data architectures, including Data Lakehouse on Databricks. Experience with Databricks and Azure is highly desirable Source code management e.g. Azure DevOps, Git Agile delivery methodologies such as SCRUM or Kanban Knowledge and work management tools More ❯

Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins More ❯

or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins More ❯

or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins More ❯

experience with Python in a data context Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding More ❯

experience with Python in a data context Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding More ❯

8+ years of professional experience in Python application development Solid knowledge of Pandas, PySpark, and modern testing (PyTest) Strong background in Azure cloud services (Databricks, ADF, Key Vaults, etc.) Familiarity with DevOps, CI/CD pipelines, and Agile best practices Understanding of APIs, OAuth2, WebSockets, and microservice architecture ? Bonus Skills More ❯

8+ years of professional experience in Python application development Solid knowledge of Pandas, PySpark, and modern testing (PyTest) Strong background in Azure cloud services (Databricks, ADF, Key Vaults, etc.) Familiarity with DevOps, CI/CD pipelines, and Agile best practices Understanding of APIs, OAuth2, WebSockets, and microservice architecture ? Bonus Skills More ❯

proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code. Strong background across at least several of the following areas: Cloud Engineering, Data Platform More ❯

retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning 🎁 What you’ll More ❯

retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning 🎁 What you’ll More ❯

and guidance to development teams. Iterative development (based on requirements/feedback) of data pipelines and ETL processes using Azure Data Factory, Data Flow, Databricks/Spark (using Python & associated frameworks), Azure storage (data lake, blob) etc. Monitoring and alerting frameworks/tools to ensure smooth and proactive operation of More ❯

and guidance to development teams. Iterative development (based on requirements/feedback) of data pipelines and ETL processes using Azure Data Factory, Data Flow, Databricks/Spark (using Python & associated frameworks), Azure storage (data lake, blob), etc. Monitoring and alerting frameworks/tools to ensure smooth and proactive operation of More ❯

in designing and implementing data architecture within complex organizations. Expertise in modern data architectures, such as data lakes and warehouses. Hands-on experience with Databricks and Cloud services (Azure, GCP, or AWS). Experience using cloud-native services for data engineering and analytics. Knowledge of distributed systems, serverless data pipelines More ❯

Python. You have experience working with data pipelines, data warehouses, data lakes, and data quality tooling. You have experience with Microsoft services such as Databricks and Azure Services. You are experienced in working with LLM and Prompt Engineering. You have experience working with RESTful APIs and microservices. FE fundinfo is More ❯

Extensive experience with SQL queries, performance tuning, and investigative processes. Experience with data warehousing and data lake solutions. Familiarity with ETL processes and tools. Databricks experience is advantageous. Soft Skills Strong communication skills for articulating status, risks, and issues. Valuing teamwork and experience working remotely in a multi-disciplinary team More ❯

proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code. Strong background across at least several of the following areas: Cloud Engineering, Data Platform More ❯

s in CPG, retail, or health) Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning ? What you’ll More ❯

Familiarity with Cloud Development Kit (CDK), GitOps Experience in DevOps/agile environments Docker, Kubernetes, serverless, Helm Platforms like Snowflake, MongoDB, Terraform Cloud, GitHub, Databricks Analytical skills, attention to detail Research using vendor documentation Documentation skills Adversary mindset Continuous learning Problem-solving skills Communication and collaboration skills Relationship building across More ❯

team to establish a self-service data culture. Skills you will need: Over 5 years of experience in a Data Engineering role. Experience with Databricks, Data Factory, Azure SQL, Azure SQL Data Warehouse. Proven ability to deliver enterprise-scale data solutions, infrastructure, and architecture. Ability to manage multiple priorities in More ❯

enterprises. Over the past year, Immuta doubled its ARR, customer base, and employee count, reaching a valuation over $1B. Key technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. The company has raised $267 million, with investors like NightDragon, Greenspring, March Capital, and others. Immuta maintains a hybrid More ❯

experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks SQL A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯

experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks SQL A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯