2920 Data Bricks Jobs - Page 34

Project Role : Packaged/SaaS Application Engineer Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance. Must have skills : Tax Accounting Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Packaged/SaaS Application Engineer, we are seeking an experienced Tax Functional Consultant with in-depth knowledge of the SOVOS tax compliance platform to support our SAP landscape and ensure seam...

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), Databricks Unified Data Analytics PlatformMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that project goals are met, facilitating discussions to address challenges, a...

Job Overview: We are seeking an experienced Senior Developer with strong expertise in Python, Node.js, Azure, and a proven track record of migrating cloud applications from AWS to Azure. This role requires hands-on experience in PySpark, Databricks, and Azure data services such as ADF and Synapse Spark. The ideal candidate will lead end-to-end modernization and migration initiatives, code remediation, and deployment of serverless and microservices-based applications in Azure. Key Responsibilities: Lead the migration of Python and Node.js applications from AWS to Azure. Analyze legacy AWS architecture, source code, and cloud service dependencies to identify and implement code refactoring and ...

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure...

Job Overview: We are seeking an experienced Senior Developer with strong expertise in Python, Node.js, Azure, and a proven track record of migrating cloud applications from AWS to Azure. This role requires hands-on experience in PySpark, Databricks, and Azure data services such as ADF and Synapse Spark. The ideal candidate will lead end-to-end modernization and migration initiatives, code remediation, and deployment of serverless and microservices-based applications in Azure. Key Responsibilities: Lead the migration of Python and Node.js applications from AWS to Azure. Analyze legacy AWS architecture, source code, and cloud service dependencies to identify and implement code refactoring and ...

About the role: This is a highly technical position where the candidate will be responsible for understanding the requirements and designing solutions for machine learning models and AI algorithms to support the Blackbaud Artificial Intelligence (AI) initiative across multiple projects/business units. The candidate must be able to articulately present expertise in data modeling and data science as well as MLOps . The ideal candidate will be goal-oriented, independent, motivated, self-driven, result-oriented, and act as an agent of change. The candidate must act as an influencer, be pragmatic, function as a team player, be able to handle multiple competing priorities in a dynamic environment,...

Job Overview: We are seeking an experienced Senior Developer with strong expertise in Python, Node.js, Azure, and a proven track record of migrating cloud applications from AWS to Azure. This role requires hands-on experience in PySpark, Databricks, and Azure data services such as ADF and Synapse Spark. The ideal candidate will lead end-to-end modernization and migration initiatives, code remediation, and deployment of serverless and microservices-based applications in Azure. Key Responsibilities: Lead the migration of Python and Node.js applications from AWS to Azure. Analyze legacy AWS architecture, source code, and cloud service dependencies to identify and implement code refactoring and ...

Job Role - Data Governance Lead Location - Navi Mumbai / Bangalore / Noida / Gurugram Job Purupose: Lead and manage all organization-wide data governance activities and will have responsibility for improving the quality and managing the protection of sensitive data and information assets The position will focus on establishing and ensuring adherence to an enterprise data governance framework for data policies, standards and practices Responsible for implementing metadata management, data lineage, defining business glossaries, maintaining reference data management, and other data management activities Work with all levels of business and technical stakeholders to design and lead implementatio...

Relevant Experience: 8+yrs Must have (all levels): • Proficiency in programming languages such as Python, SQL, and experience with big data technologies like Hadoop, Spark, and Kafka. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and data storage solutions (e.g., Databricks, BigQuery, Snowflake). • Experience with CI/CD processes and tools, including Azure DevOps, Jenkins, and Git, to ensure smooth and efficient deployment of data solutions. • Familiarity with APIs to push and Pull data from data systems and Platforms. • Familiarity with understanding software architecture High level Design document and translating them to developmental tasks. Nice to have: • Familiarity with Mic...

Ready to build the future with AI? At Genpact, we don't just keep up with technology we set the pace. AI and digital innovation are redefining industries, and were leading the charge. Genpacts AI Gigafactory , our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of whats possible, this is your moment. Genpact (NYSE: G)...

Provides overall architectural leadership to ensure secure, and scalable cloud platform design with observability for Azure and GCP along. Define strategy for workloads cloud migration/setup path and patterns Design and Implementation lead to ensure secure, scalable, and observable cloud platform design, help theimplementation team to provide guidance and review Design and implement secure cloud foundations with network, IAM, encryption, and logging architectures following enterprise governance and compliance standards (ECB, DORA) Design and Implement secure CI/CD, infrastructure-as-code, and policy enforcement frameworks for both foundational infrastructure and containerized GenAI deploymen...

About the team: AIML is usedto create chatbots, virtual assistants, and other forms of artificial intelligence software. AIML is also used in research and development of natural language processing systems. What you can look forward to as a AI/ML expert Lead Development : Own endtoend design, implementation, deployment and maintenance of both traditional ML and Generative AI solutions (e.g., finetuning LLMs, RAG pipelines) Project Execution & Delivery : Translate business requirements into datadriven and GenAIdriven use cases; scope features, estimates, and timelines Technical Leadership & Mentorship : Mentor, review and coach junior/midlevel engineers on best practices in ML, MLOps and GenA...

About the team: AIML is usedto create chatbots, virtual assistants, and other forms of artificial intelligence software. AIML is also used in research and development of natural language processing systems. What you can look forward to as a AI/ML expert Lead Development : Own endtoend design, implementation, deployment and maintenance of both traditional ML and Generative AI solutions (e.g., finetuning LLMs, RAG pipelines) Project Execution & Delivery : Translate business requirements into datadriven and GenAIdriven use cases; scope features, estimates, and timelines Technical Leadership & Mentorship : Mentor, review and coach junior/midlevel engineers on best practices in ML, MLOps and GenA...

Java Developer Immediate to 30 Days Joiners | Hybrid (3 Days in Office) Are you a passionate Java developer eager to work on high-impact, cloud-native projects with the latest technologies? We invite you to be part of our innovative team, where your skills will help shape mission-critical solutions for leading businesses. About the Role: We are actively seeking talented Java developers who are ready to make a difference from day one. This is a hybrid position that requires you to collaborate onsite with our dynamic team in the office for 3 days each week, ensuring high engagement, rapid learning, and effective teamwork. If you can join us within the next 30 days, value face-to-face collabora...

Responsibilities: * Design, develop & maintain Azure Databricks solutions using ADF, SQL & PySpark. * Collaborate with cross-functional teams on data engineering projects.

Responsibilities: • Design and implement data pipelines/ ETLs in Python, MSSQL server, Azure/ AWS as needed. • Manage the architectural design and development for the companys future unified BI system. • Extricate data pipeline and modelling requirements for business intelligence solutions. • Develop and orchestrate scripts as needed using Git and Airflow, in both Unix and Windows based environments. • Manage end to end life cycle of BI products, including design, development, testing, deployment, and maintenance activities, for assigned projects. • Model data according to Kimball or Inmon methodologies, in support of Business Intelligence projects. • Ensure data and report integrity by impl...

Architect – Data Engineering Governance & Data Security Req number: R5966 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking an accomplished Archi...

Develop and execute test scripts to validate data pipelines, transformations, and integrations. Formulate and maintain test strategiesincluding smoke, performance, functional, and regression testingto ensure data processing and ETL jobs meet requirements. Collaborate with development teams to assess changes in data workflows and update test cases to preserve data integrity. Design and run tests for data validation, storage, and retrieval using Azure services like Data Lake, Synapse, and Data Factory, adhering to industry standards. Continuously enhance automated tests as new features are developed, ensuring timely delivery per defined quality standards. Participate in data reconciliation and...

Senior Business Intelligence Analyst Department/Team: Data & Insights >> Client Analytics & Insights Location: Bengaluru IN The role The work dynamics Data & Insights team is looking to recruit a Senior Business Intelligence Analyst to work in its Business Intelligence Team. The Senior Business Intelligence Analyst will work as part of a highly skilled client-oriented global data community at JLL to develop innovative analytical solutions that support the business's efforts to increase productivity, reduce risk, lift customer satisfaction, and drive revenue. The Business Intelligence Team is committed to continuous learning and innovation. As such, the job holder will be expected to embrace ...

Overview We are seeking a highly skilled and detail-oriented Data Analyst to join our BI Analytics & Governance team in Hyderabad. This role is pivotal in transforming complex data into meaningful insights that drive s strategic decision-making across the organization. You will work closely with backend systems and large datasets, applying advanced analytical techniques to uncover trends, optimize processes, and support data governance initiatives. The ideal candidate will bring a strong analytical mindset, technical proficiency, and a passion for data integrity and business impact. Responsibilities Uphold company values and ensure alignment with iCIMS policies, procedures, and core competen...

Must Have skills: Python, Pyspark, Databricks 5 days work from office (ODC) Data Engineer Software Engineer (Data) What are we looking for? Role models . Leading by example and setting direction on engineering practices and habits are core to our mission. Problem solvers . We pursue some of the most challenging cross-cutting problems/issues and treat them as opportunities to align and shape our culture. Change agents . We acknowledge that we might not always understand a particular domain; however, we will ask probing questions and many times will leverage data to drive decision making or challenge the status quo. Agile in mindset . We provide incremental value and seek customer feedback to ...

What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommen...