2919 Data Bricks Jobs - Page 16

Mandate Skills : AWS, Databricks, Python, SQL Responsibility: Designing and implementing scalable data pipelines using Databricks and Apache Spark. Proficiency in programming languages such as Python and SQL. Analysing and processing large datasets to uncover actionable insights. Integrating data flows across AWS services to ensure seamless connectivity. Collaborating with cross-functional teams to streamline data operations and workflows.

Mandate Skills : AWS, Databricks, Python, SQL Responsibility: Designing and implementing scalable data pipelines using Databricks and Apache Spark. Proficiency in programming languages such as Python and SQL. Analysing and processing large datasets to uncover actionable insights. Integrating data flows across AWS services to ensure seamless connectivity. Collaborating with cross-functional teams to streamline data operations and workflows.

Mandate Skills : AWS, Databricks, Python, SQL Responsibility: Designing and implementing scalable data pipelines using Databricks and Apache Spark. Proficiency in programming languages such as Python and SQL. Analysing and processing large datasets to uncover actionable insights. Integrating data flows across AWS services to ensure seamless connectivity. Collaborating with cross-functional teams to streamline data operations and workflows.

Mandate Skills : AWS, Databricks, Python, SQL Responsibility: Designing and implementing scalable data pipelines using Databricks and Apache Spark. Proficiency in programming languages such as Python and SQL. Analysing and processing large datasets to uncover actionable insights. Integrating data flows across AWS services to ensure seamless connectivity. Collaborating with cross-functional teams to streamline data operations and workflows.

Data and Analytics Supervisor RSM is seeking a highly skilled and experienced Data and Analytics Supervisor to join our India team. The ideal candidate will have a strong background in data engineering, data modeling, data transformation, storage design, and modern cloud architecture . This role requires excellent leadership skills along with hands-on technical expertise in Microsoft Data Platform and Snowflake . The Supervisor will oversee the design, development, and delivery of enterprise data solutions, ensuring efficient use of Microsoft data services and Snowflake for storage, transformation, and analytics. Responsibilities Collaborate with cross-functional teams, including data scient...

6–8 years of overall Data Engineering experience, preferably in building data solutions on Microsoft Azure. Within this, at least 3–4 years of hands-on Databricks experience, including delivering 2+ end-to-end Databricks projects

This is a remote position. 1. Python PySpark 2. Azure Cloud Services such Synapse Data Bricks Data Factory (Data Bricks is mandatory) 3. OOPS Concept 4. Data Modelling with scalability Key Responsibilities: Design, develop, and maintain scalable and robust data pipelines to support data processing and analysis. Collaborate with cross-functional teams to understand data requirements and implement effective solutions. Perform data modeling and design to ensure the integrity, availability, and performance of data systems. Implement and optimize ETL processes for extracting, transforming, and loading data from various sources into our data warehouse. Identify and troubleshoot data-related issues...

Role: Define/Maintain/Implement CDKs Public Clould standards including secrets management, storage, compute, networking, account management, database and operations. Leverage tools like AWS Trusted Advisor, 3rd party Cloud Cost Management tools and scripting to identify and drive cost optimization. This will include working with Application owners to achieve the cost savings. Design and implement Cloud Security Controls that creates guard rails for application teams to work within ensuring proper platform security for applications deployed within the CDK cloud environments. Design/Develop/Implement cloud solutions. Leveraging cloud native services, wrap the appropriate security, automation a...

Location:Kochi, Coimbatore, Trivandrum Must have skills:Python/Scala, Pyspark/Pytorch Good to have skills:Redshift Job Summary Youll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to i...

Role & responsibilities AWS AWS Glue or Databricks Python Pyspark

What you'll do Develop, maintain, and enhance new data sources and tables, contributing to data engineering efforts to ensure comprehensive and efficient data architecture. Serves as the liaison between Data Engineer team and the Airport operation teams, developing new data sources and overseeing enhancements to existing database; being one of the main contact points for data requests, metadata, and statistical analysis Migrates all existing Hive Metastore tables to Unity Catalog, addressing access issues and ensuring smooth transition of jobs and tables. Collaborate with IT teams to validate package (gold level data) table outputs during the production deployment of developed notebooks Deve...

General Summary: Data Platform, Engineering and Operations lead will play a pivotal role in shaping the future of our data capabilities as part of strategic and critical Enterprise Data Transformation (EDT) program. We're seeking a visionary, hands-on leader to drive the build out of a modern enterprise-wide lake house, ensuring reliability, scalability, security, and compliance. and enabling cutting edge analytics solutions. This role will be leading a talented team of platform and data engineers, fostering a culture of excellence while balancing speed of delivery with innovation and operational excellence. This role will also collaborate with cross functional teams (Solution engineers, SME...

" Educational Requirements Bachelor of Engineering , BCA , BSc , MCA , MTech , MSc Service Line Data & Analytics Unit Responsibilities 5-8 yrs exp in Azure (Hands on experience in Azure Data bricks and Azure Data Factory) Good knowledge in SQL, PySpark. Should have knowledge in Medallion architecture pattern Knowledge on Integration Runtime Knowledge on different ways of scheduling jobs via ADF (Event/Schedule etc) Should have knowledge of AAS, Cubes. To create, manage and optimize the Cube processing. Good Communication Skills. Experience in leading a team Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-indu...

Position Overview We are looking for an experienced Full Stack Developer who has a strong experience in web application development, focusing on integrating Generative AI and Agentic Application models. Proficiency in React.js (front-end), Python (back-end), Databricks, and Azure platforms is required. Knowledge of Node.js, CI/CD pipelines, and Terraform is beneficial. The role will work with AI engineers , data scientists, and software engineers to embed and deploy AI models, ensuring seamless integration and performance. Key Responsibilities Front-End Development: - Create responsive UIs using React.js and modern JavaScript (ES6+). - Use state management libraries like Redux or Zustand. - ...

12+ years of related experience with a Bachelors degree; or 10 years and a Master’s degree; or a PhD with 8 years applied industry experience; or equivalent experience. 10+ years of experience in data and advanced analytics At least 8 years of experience working on data technologies in Azure/AWS Experience building modern products and infrastructure Experience working with .Net/Java and Microservice Architecture Expertise in SQL and Python Expertise in SQL Server, Azure Data Services, and other Microsoft data technologies. Expertise in Databricks, Microsoft Fabric Strong understanding of data modeling, data warehousing, data lakes, data mesh and data products.

- 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

Department: Digital Location: Gurgaon Work Mode: On-site About the Role: We are looking for a passionate Data Scientist to join our team and drive data-driven insights that improve our products and services. You will analyze complex datasets, build predictive models, and develop algorithms to solve challenging business problems. You will work closely with Platform team, engineers, and other stakeholders to translate data insights into actionable strategies. Responsibilities: • Analyze large datasets to identify trends, patterns, and insights. • Develop and implement machine learning models for prediction, classification, and optimization. • Design and execute experiments to test hypotheses a...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

Develop full-stack forecasting and simulation tools using React, Node.js, and Python on AWS Modernize Excel/VBA tools into scalable cloud-native web applications Deploy solutions efficiently with AWS services, CI/CD, and infrastructure-as-code tools Food allowance Annual bonus Health insurance Provident fund

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore 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 what&rsquos possible, this is...

Work Timings - Rotational Shifts (IST) Work Location - Remote Notice Period - only 30days Job Description Summary The Data engineer is responsible for managing and operating upon Tableau, Tableau bridge server, Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI . The engineer will work closely with the customer and team to manage and operate cloud data platform. Job Description Leads operational coverage: Resolving pipeline issues / Proactive monitoring for sensitive batches / RCA and retrospection of issues and documenting defects. Design, build, test and deploy fixes to non-production environment for Customer testing. Work with Customer to deploy fixes on production upon receiving...

What this job involves: About the role The JLL Digital Products team aims to bring successful technology-based products to market in a high-growth environment. The teams mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. The Senior Software Engineer is a key position on the Digital Products team, responsible for defining the key framework and implementing various components for JLLs Products Responsibilities This is an individual contributor role that is responsible for the designing and developing of Product features that are strategic for the business and...

Overview MSCI has embarked on an ambitious program to create our next generation Fixed Income Indices/Analytics platform, which builds on MSCI’s vast Analytics and Index capabilities We are seeking a highly skilled and motivated Software Developer to join our technology team and contribute to this next generation solution. As a member of the Development team you will build high performance and scalable services primarily using various programming languages and technologies. These services will provide an efficient and comprehensive gateway into our Indices group. You will work within a local and global team of highly skilled Software Engineers, Test Engineers, and Product Managers. Additiona...

About the Role We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have at least 18 years of experience in Data engineering and Analytics and a proven track record of designing and implementing complex data solutions. As a senior principal data architect, you will be expected to design, create, deploy, and manage Blackbauds data architecture. This role has considerable technical influence within the Data Platform, Data Engineering teams, and the Data Intelligence Center of Excellence at Blackbaud. This individual acts as an evangelist for proper data strategy with other teams at Blackbaud and assists with the technical direction, specific...