4749 Data Bricks Jobs - Page 35

Description: Mandatory skills:oOverall 2-4+ years of exp, Cloud and infra related Skills oMandatory hands-on experience in Azure services like Active directory, Container registry, Keyvault, Storage, Kubernetes, Terraform, PowerShell / Python scripting. oAdministrating Kubernetes cluster oExperience in creating Azure pipelines. oDeveloping Terraform code and automation. oScripting experience with PowerShell/Python. Preferred skills:oExperience in Postgres DB, Azure Data Factory, Data bricks, Data Integration oKafka Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade :B Level :To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) :No R...

RoleAdvanced Data Engineer , LocationHyderabad Hire TypeFulltime Tech Stack: Proficiency in Python, SQL, Databricks, Snowflake Data Modeling, ETL process, Apache Spark and PySpark, data integration and workflow orchestration, real time data processing experience/frameworks, Cloud experience (Azure preferred) About The Role Minimum 5 years of experience in Data Engineering role that involves Analyzing, organizing raw data, and building data systems & pipelines in Cloud Platform [Azure] Experienced in migrating data from on-prem to cloud-based solution architectures [Azure] Extensive experience with Python, Spark and SQL Experience in developing ETL processes. Proficient with Azure Data Lake, ...

Description Responsibilities Perform testing in Databricks environment which includes Participating in developing Test frameworks. Participating in testing scripts development, code reviews Partner with the product owner, data engineers, data architects and analysts to create scalable and robust solutions. Prepare the status report of testing activities and share updates with the team during Scrum meeting. Experience using appropriate test management tool like Azure DevOps Competencies / Required Skills: ETL Testing experience of 7+ years Report Testing experience of 2+ years, preferably PowerBI Hands on experience of 3+ years working in Databricks/ADLS environment. Good at Python/Pyspark sc...

Assignment Title: .Net Full Stack Developer with Angular Comments on Experience Skills QUALIFICATIONS Expertise in C#/.NET .NET CORE, with knowledge how to work with the SOLID principles Very good hands on experience with Angular technology and Web APIs Minimum five years of backend development experience with complex products Strong skills in Microsoft SQL language and Entity framework Good knowledge and experience writing and using unit tests Good communication skills, fluent in English MERITING Azure, Data bricks and Python Hands on experience with test automation tools

- 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

Team Overview: Data Science and Artificial Intelligence represents the next phase in the advancement of our digital transformation and is a significant evolution for MasterCard We continue to evolve our Data Science and AI strategy to support aggressive growth plans, and we are seeking a Lead Software Engineer to join our team Are you an expert developer with the vision to guide complex projects from ideation to implementation? If so, we want you on our team! Roles & Responsibilities: Develop complete understanding of end-to-end technical architecture and dependency systems Participate in team prioritization discussions with Product/Business stakeholders Estimate and own delivery tasks (desi...

Title and Summary MLOps Engineering DirectorThe Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product The models generated are production ready and created to back specific products in Mastercards authentication and authorization networks The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized Services within Mastercard is responsible for acquiring, engaging, and retaining customers by m...

Title and Summary Manager - Product Data & AnalyticsJob Description Product Data & Analytics Team Manager Product Data & Analytics Overview Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies Are you excited about Data Assets and the value they brings to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource...

Overview Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. Are you excited about Data Assets and the value they brings to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data analytics in the company? The ideal candidate has a knack for seeing solutions in sprawling data sets and the business m...

The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions. Working closely with the business, we influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data dri...

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...

- 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 Synapse Analytics -...

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...

Role & responsibilities: Job Title: AI/ML Expert Predictive Analytics (Azure) Job Summary: We are seeking a highly skilled and innovative AI/ML Expert with deep expertise in predictive analytics and Microsoft Azure technologies. The ideal candidate will design, develop, and deploy machine learning models that drive actionable insights and strategic decision-making across the organization. This role requires a strong foundation in data science, cloud computing, and business acumen to solve complex problems and optimize performance. Key Responsibilities: Design and implement predictive models using Azure Machine Learning, Databricks, and other Azure AI services. Collaborate with cross-function...

We are looking for a results-driven Senior Azure Cloud Engineer. Required Qualification: 5+ yrs of experience as a Cloud Engineer, with strong focus on Azure environments. Expertise in Azure Compute, Networking, Storage. Required Candidate profile Hands-on experience with Databricks, ADF, and AAS. Proficiency in Terraform, ARM, or Bicep for IaC deployments. Share your CV at jobs@hireindians.com or WhatsApp/Call on 8882212448.

WORK YOULL DO As a Data Engineer within Deloitte’s Customer Strategy & Design (CS&D) practice, you will design, build, and optimize large-scale data ingestion, transformation, and orchestration systems that support analytics, AI, and digital transformation initiatives. You will play a critical role in building resilient data ecosystems, driving automation, and enabling actionable insights for global clients. 1. Data Pipeline Development & Architecture Design, build, and optimize ETL/ELT pipelines using Python/PySpark/SQL on distributed data platforms. Engineer streaming and batch workflows using Azure Data Factory/Databricks/Apache Spark/Snowflake. Implement ingestion frameworks for structur...

Business Technology Solutions Consultant Pharma Supply Chain & Manufacturing Location: Pune, Gurgaon Company: ZS Associates India Pvt Ltd. Drive Pharma Transformation with Data, AI & Cloud Join ZS’s Business Technology team to help leading pharma clients reimagine their supply chain and manufacturing operations using modern data platforms, cloud engineering, and Generative AI innovation. You’ll architect intelligent solutions powered by Databricks , FastAPI / Node.js , and cloud technologies to deliver measurable business impact. What You’ll Do Partner with pharma clients to transform complex supply chain and manufacturing processes through datadriven solutions. Lead data engineering and sol...

Experience: 512 Years Location: Coimbatore / Indore Job Summary: We are seeking an experienced Azure Databricks Developer to design, build, and optimize scalable data pipelines and analytical solutions on the Azure platform. The ideal candidate should have deep expertise in Databricks, PySpark, SQL, and Azure Data Services, with a solid understanding of data engineering principles and modern data architectures. --- Key Responsibilities: Design and develop ETL / ELT pipelines using Azure Databricks and PySpark. Integrate and transform data from multiple sources such as Azure Data Lake, Azure SQL, and APIs. Work with large-scale datasets to build efficient, reusable, and reliable data processi...

EPAM has presence across 40+ countries globally with 55,000 + professionals & numerous delivery centers, Key locations are North America, Eastern Europe, Central Europe, Western Europe, APAC, Mid East & Development Centers in India (Hyderabad, Pune & Bangalore). Exp: 5-14 years Location: Pune/Hyderabad/Bengaluru/Chennai/Coimbatore Work Mode: Hybrid (2-3 days office in a week) Job Description: 5-14 Years of in Big Data & Data related technology and Palantir experience Expert level understanding of distributed computing principles Expert level knowledge and experience in Apache Spark Hands on programming with Python Experience with building stream-processing systems, using technologies such as...

Sr. Data Engineer About the Role The Senior Data Engineer will play a pivotal role in designing, developing, and maintaining scalable, high-performance data pipelines and infrastructure. You will lead multiple data engineering initiatives, collaborate with cross-functional teams, and deliver enterprise-grade data solutions aligned with business goals. This role is ideal for a proactive problem solver with strong leadership skills, hands-on expertise in PySpark, AWS Glue, Databricks, and S3 , and the ability to translate complex technical concepts into actionable insights for business stakeholders. Key Responsibilities Lead functional teams and manage multiple data engineering projects simult...

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. The Data Modeler will work on projects to define and develop logical and physical data models that satisfy Parexel’s financial and operational reporting, a...

Role & responsibilities Must have experience in Data Lake , Data Bricks and Pyspark Preferred candidate profile

Hiring Azure DevOps Engineer with Databricks experience (510 yrs) for Hybrid role in Bangalore. Strong skills in Azure DevOps, Databricks, CI/CD, Terraform & Python required. hr@nityaaconsulting.com | WhatsApp: 776072194 Food allowance Health insurance Provident fund

Responsibilities: • Lead functional teams or projects, managing multiple data engineering initiatives simultaneously to ensure timely delivery. • Design, implement, and maintain scalable ETL pipelines using Databricks, PySpark, AWS Glue, and S3 to process and transform large datasets. • Query and analyze complex datasets using SQL and Python to support business intelligence and analytics initiatives. • Develop and document data models, schemas, and standards to ensure data consistency, usability, and governance. • Monitor, troubleshoot, and optimize data pipeline performance and reliability, minimizing downtime and maximizing efficiency. • Expert in designing and optimizing Databricks-based ...

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. The Data Modeler will work on projects to define and develop logical and physical data models that satisfy Parexel’s financial and operational reporting, a...