101 to 125 of 1,448 Databricks Jobs

controlled retirement of legacy platforms while maintaining service continuity. Technical toolkit Snowflake, including Snowpipe, Streams and Tasks, Dynamic Tables and Snowpark Azure, with Databricks exposure an advantage. Advanced SQL and Python Data transformation frameworks such as dbt. Data pipeline orchestration and DataOps/CI/CD for data. Advanced ...

APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization. • Data engineering: Spark or Databricks, Kafka or equivalent streaming, ETL/ELT, batch and real-time pipelines, data contracts, lineage, cataloguing, quality rules, and scalable cloud storage. • Cybersecurity: SOC workflows, threat ...

Data & AI Strong understanding of modern data platforms and data architecture Experience designing and explaining Lakehouse and Data Warehouse architectures using technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, or similar Strong understanding of ETL/ELT, analytics and BI, stream vs batch processing, and Medallion Architecture Familiarity with ...

Excellent problem-solving and communication skills. Strong experience of different data architectures including hub and spoke, data lakes, data fabrics, lakehouses. Detailed understanding of Databricks eco system. Strong experience of Data reporting solutions from data warehousing (Kimble and Inmon), ETL, reporting tools, and document stores. Exceptional communication skills to explain ...

experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker ...

experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker ...

experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker ...

such as GDPR Familiarity with BI and analytics consumption patterns Technology Experience (Desirable): Azure-based data platforms such as Fabric, Synapse, or Data Factory Databricks Snowflake Dell Private Cloud or similaron-premiseor hybrid platforms Certifications (Desirable): Azure certifications such as AZ-305, DP-700, or AI-focused exams SnowflakeSnowProCore What ...

such as GDPR Familiarity with BI and analytics consumption patterns Technology Experience (Desirable): Azure-based data platforms such as Fabric, Synapse, or Data Factory Databricks Snowflake Dell Private Cloud or similaron-premiseor hybrid platforms Certifications (Desirable): Azure certifications such as AZ-305, DP-700, or AI-focused exams SnowflakeSnowProCore What ...

Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side … Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering ...

architectures (lakehouse, warehouse, data mesh, data fabric). Hands-on experience with one or more cloud data ecosystems: Azure (Data Factory, Synapse, Fabric, ADLS, Databricks) AWS (Glue, Redshift, EMR) GCP (BigQuery, Dataflow) Databricks (Spark/PySpark) Snowflake (SQL, Snowpark, performance tuning) Strong SQL and/or Python capability, and familiarity ...

employees to expand beyond their boundaries and dive into important, world-changing federal challenges. Position Summary Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing, building, and optimizing scalable cloud … stakeholder teams to deliver secure, high-performance data capabilities that advance federal missions. Responsibilities include, but are not limited to, the duties listed below: Databricks Engineering Design, build, and optimize scalable data pipelines and processing workflows using Databricks, Apache Spark, PySpark, and Delta Lake. Data Lakehouse Architecture Design and implement ...

highly desirable. Exposure to Microsoft Fabric Lakehouse, Warehouse, Data Factory, OneLake, Power BI Semantic Models and Fabric Governance will be particularly valuable. Experience with Databricks and Data Lake would be beneficial but is not essential. Key Skills & Experience Strong Data Architecture and Solution Design experience Data Mastering tools Master Data ...

Infrastructure as Code (Terraform preferred). · Experience testing in Agile/DevOps environments. Preferred Qualifications · Experience with Corporate Data Lakehouse platforms. · Knowledge of Databricks, Snowflake, or equivalent cloud data platforms. · Experience with performance and load testing tools. · Understanding of security and compliance testing for cloud platforms. · Experience within Financial Services ...

experience working with SQL Server Strong experience working with Azure Data Factory and Azure DevOps Hands-on experience with data lake platforms, Azure Synapse, Databricks, or equivalent experience/skills Experience with tooling such as CI/CD pipelines and version control The ability to lead feature specifications and working ...

implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform ...

have Programming: Proficiency in Python, Java, Scala, or similar languages for data processing. Big Data Technologies: Hands-on experience with tools such as Databricks, Apache Spark, and Hadoop. Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Database Management: Expertise in relational databases (e.g. ...

analysts, security officers, and legal advisors to ensure holistic solutions Your areas of knowledge and expertise Proven experience designing and implementing data lakehouse architectures (Databricks, Delta Lake, Apache Flink, or similar technologies) Strong, hands-on AWS cloud experience including services such as S3, Glue, Lake Formation, Athena, and Redshift Demonstrated ...

finance or business environment.Experience supporting finance transformation, data modernization, reporting automation, digital finance, or process improvement initiatives.Familiarity with Power BI, SQL, Azure, Databricks, or similar data and analytics platforms. Basic Qualifications: Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, Computer Science, or similar field. Preferred: Master's degree ...

processes. Technical Skills Programming: Proficiency in Python, Java, Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres ...

Scala. Experience with dbt for data modelling and transformation. Strong knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory. Strong understanding of DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes. Experience with data ...

Scala. Experience with dbt for data modelling and transformation. Strong knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory. Strong understanding of DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes. Experience with data ...

Spark, PySpark or Scala.Experience with dbt for data modelling and transformation.Strong knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory.Strong understanding of DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes.Experience with data quality ...

Technical Skills: Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka ...

Customer Data Platforms (CDP) . Experience with event-driven and streaming technologies (e.g. Kafka). Experience with cloud data platforms such as Snowflake or Databricks . Degree in Computer Science, Engineering or a related discipline, with an understanding of RS Group's business and industry. ...