626 to 650 of 1,792 Databricks Jobs

. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯

a Data Engineer or similar role. Strong SQL skills with relational and NoSQL databases. Demonstrated experience with data pipeline and ETL tools (e.g., Azure Data Factory, Azure Logic Apps, Databricks, APIs). Understanding of different data environments (Data Lakes, Synapse, Delta Lakes). Proficiency in programming languages such as Python, Java, or Scala. Sound knowledge of data modelling, database design More ❯

validation , with at least 3+ years in a leadership role . Proven expertise in testing data platforms, data pipelines, and cloud-based big data solutions . Strong experience with Databricks, Azure Data Factory, Synapse, and cloud infrastructure testing . Deep understanding of data governance, data security, and compliance best practices . Expertise in test automation frameworks (e.g., Great Expectations, DBT More ❯

data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being More ❯

engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process A More ❯

Strong analytical skills. Hands-on experience with SQL/no-SQL databases such as Redis, Postgres, Singlestore and MongoDB. Familiarity with big data technologies and data lake ecosystems e.g. Databricks, Snowflake etc. Well versed in designing data structures, event schemas and database schemas. Well versed in file formats such as CSV, JSON, Parquet, Avro and Iceberg. Solid and opinionated knowledge More ❯

analysts to deliver high-quality data products. Ability to translate complex business requirements into technical solutions. Understanding of data governance principles, and familiarity with modern data platforms (e.g., Azure, Databricks) and designing scalable data models for enterprise-wide use. We’re growing fast and alongside a fun and friendly environment, we offer a fabulous package and amazing prospects – ideal if More ❯

our Data Strategy, embarking on a transformative journey from traditional on-premises infrastructure to a cloud-based architecture. Our cloud-native Data Platform utilises Microsoft Azure technology including Azure Databricks, Azure Data Factory and dbt. We seek an individual with a proven track record in Azure cloud Data Engineering to join our team, contributing their expertise to shape and execute More ❯

dynamic team, with experience working with relational databases and writing SQL and Python or similar. Power BI (semantic data modelling and DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. More ❯

superior verbal and written communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company where we're striving to build the More ❯

superior verbal and written communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company where we’re striving to build the More ❯

data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to More ❯

our Data Strategy, embarking on a transformative journey from traditional on-premises infrastructure to a cloud-based architecture. Our cloud-native Data Platform utilises Microsoft Azure technology including Azure Databricks, Azure Data Factory and dbt. We seek an individual with a proven track record in Azure cloud Data Engineering to join our team, contributing their expertise to shape and execute More ❯

. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯

skills. The ideal candidate will demonstrate most or all of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in More ❯

success • Experience in designing cloud data platform solutions • In depth knowledge of the Snowflake platform and capabilities • Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous • Practical knowledge of GenAI and LLM offerings in the market • Skilled in working on large scale agile transformation projects More ❯

a focus on cloud distributed data processing platform for spark, and modern open table concept like delta/iceberg. Strong experience with Azure: Synapse Analytics, Data Factory, Data Lake, Databricks, Microsoft Purview, Monitor, SQL Database, SQL Managed Instance, Stream Analytics, Cosmos DB, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, ARM Templates. Strong proficiency in Spark, SQL, and Python More ❯

DP-600. Technical skills required for the role of Data Specialist: SQL and noSQL data and database management. Spark/PySpark, PowerBI with M & DAX, R. MS Fabric, Databricks, Data factory, Warehouses and Lakehouses, Data pipeline. Familiarity with Power Platform is a plus. Familiarity with dMRV (digital measurement, reporting and verification) standards and tools is a plus. WHAT WE CAN More ❯

a strong focus on customer insight, commercial impact, and stakeholder communication. Advanced Power BI experience, including DAX, data model optimisation, and workspace management. Proficiency in SQL and knowledge of databricks, dbt and fabric. Strong knowledge of hospitality systems, booking flows, CRM and loyalty platforms — and how they power the guest journey. Proven experience designing A/B tests and using More ❯

engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process A More ❯

Data Science or equivalent experience (Mathematics, Statistics, Information Science, Computer Science, ML, AI, Bioinformatics or similar) Demonstrated experience in product ownership and stakeholder management. Demonstrated experience with Azure stack (databricks, AMLS, etc.) Knowledge of the data landscape in healthcare (EHR, claims data, real world data, HEOR data) Experience in healthcare/pharmaceutical industry Experience in sales and digital marketing analytics More ❯

Strong analytical skills. Hands-on experience with SQL/no-SQL databases such as Redis, Postgres, Singlestore and MongoDB. Familiarity with big data technologies and data lake ecosystems e.g. Databricks, Snowflake etc. Well versed in designing data structures, event schemas and database schemas. Well versed in file formats such as CSV, JSON, Parquet, Avro and Iceberg. Solid and opinionated knowledge More ❯

role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯

experience with Salesforce Clouds). Deep understanding of Martech Stack with hands on experience with Salesforce Marketing Cloud or similar products. Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning). NOTE : This is an More ❯

adherence to legal standards. Experience in developing and executing customer retention strategies. Understanding of custom web data collectors and stream processing e.g. clickstreams, event hubs, distributed computing. Experience with Databricks, Spark, Hadoop or other big data technologies. Working with unstructured data and defining web data models. A strong understanding of tracking pixels and web tagging principles. Experience with relational or More ❯