4749 Data Bricks Jobs - Page 19

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 : Data Visualization Good to have skills : Microsoft SQL Server, SAS BI, Microsoft Power Business Intelligence (BI)Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Senior Analyst, Data Engineering, you will be part of the Data and Analytics team, responsible for developing and delivering high-quality data assets and managing data domains for Personal Banking customers and colleagues. You will bring expertise in data handling, curation, and conformity,...

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 : Data Analytics Good to have skills : Microsoft SQL Server, Python (Programming Language), AWS RedshiftMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Senior Analyst, Data Engineering, you will be part of the Data and Analytics team, responsible for developing and delivering high-quality data assets and managing data domains for Personal Banking customers and colleagues. You will bring expertise in data handling, curation, and conformity, and support ...

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 : Data Analytics Good to have skills : Microsoft SQL Server, Python (Programming Language), AWS RedshiftMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary The purpose of the Data Engineering function within the Data and Analytics team is to develop and deliver great data assets and data domain management for our Personal Banking customers and colleagues seamlessly and reliably every time.As a Senior Data Engineer, you will bring expertise on data handling, cura...

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 : Data Engineering Good to have skills : Microsoft SQL Server, Python (Programming Language), Snowflake Data WarehouseMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Senior Analyst, Data Engineering, you will be part of the Data and Analytics team, responsible for developing and delivering high-quality data assets and managing data domains for Personal Banking customers and colleagues. You will bring expertise in data handling, curation, and conformity...

Support Development, and maintain automated test frameworks, tools, and test cases for Data Engineering and Data Warehouse applications. Collaborate with cross-functional teams, including software developers, data engineers, and data analysts, to ensure comprehensive testing coverage and adherence to quality standards. Conduct thorough testing of data pipelines, ETL processes, and data transformations using Big Data technologies. Apply your knowledge of Data Warehouse/Data Lake methodologies and best practices to validate the accuracy, completeness, and performance of our data storage and retrieval systems. Identify, document, and track software defects, working closely with the development ...

Role Overview We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems. The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills. Key Responsibilities Work with stakeholders to understand business problems and translate them into ML solutions. Perform data exploration, cleaning, and feature engineering for structured and unstructured datasets. Build and validate models using algorithms for classification, regression, clustering, recommendation, NLP, or CV as applicable. Use Python (Panda...

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 Azure 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 and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform 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 developing strea...

Databricks Developer Must-have skills Cloud certified in one of these categories Azure Data Engineer Azure Data Factory , Azure Data bricks Spark (PySpark or scala), SQL, DATA Ingestion, Curation . Semantic Modelling/ Optimization of data model to work within Rahona Experience in Azure ingestion from on-prem source, e.g. mainframe, SQL server, Oracle. Experience in Sqoop / Hadoop Microsoft Excel (for metadata files with requirements for ingestion) Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud Strong Programming skills with at least one of Python, Scala or Java Location- Pune, Bangalore, Coimbatore, Chennai Mandatory Skills: DataBricks - Data Enginee...

Job Description Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert re...

Role Purpose The purpose of this role is to design, develop and troubleshoot solutions/ designs/ models/ simulations on various softwares as per clients/ project requirements Do 1. Design and Develop solutions as per clients specifications Work on different softwares like CAD, CAE to develop appropriate models as per the project plan/ customer requirements Test the protype and designs produced on the softwares and check all the boundary conditions (impact analysis, stress analysis etc) Produce specifications and determine operational feasibility by integrating software components into a fully functional software system Create a prototype as per the engineering drawings & outline CAD model is...

Job Description Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology en...

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to fe...

Mandatory skills :Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Perf skills :GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Role Purpose Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. E...

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to fe...

Must To Have Skills: Proficiency in Microsoft Azure Data Bricks, Microsoft SQL Server, Microsoft Azure Analytics Services.- Strong understanding of cloud-based data services.- Experience in designing and implementing data solutions on Azure platform

Overview Job Summary : We are looking for a skilled GCP Data Engineer with 3 to 6 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering, cloud technologies, and experience with Google Cloud Platform (GCP) services. You will be responsible for designing, building, and maintaining scalable data pipelines and frameworks that support our data analytics and machine learning initiatives. Key Responsibilities : Design and implement data pipelines using GCP services such as BigQuery, Dataflow, and Pub/Sub. Collaborate with data scientists and analysts to understand data needs and deliver appropriate solutions. Optimize data storage and pr...

• Cloud Platforms: Proficiency Azure. • Programming Languages: Strong skills in Python, PySpark, PowerShell, and SQL. • Infrastructure as Code: Experience with Terraform. • Data Engineering Knowledge. • Security & Compliance: Required Candidate profile Candidate must have 5–10 years in IT administration, with at least 3–5 years focused on Databricks administration. Perks and benefits Best in Industry

Key Responsibilities: Optimize scalable data pipelines for ingestion, transformation, and loading of large datasets from diverse sources. Utilize Azure Data Factory for orchestration and automation of ETL/ELT processes, ensuring efficient data flow. Work extensively with Azure services such as Azure Blob Storage and Azure Data Lake Storage (ADLS Gen2) for efficient data storage and management. Integrate and manage data flows using Azure Logic Apps for event-driven automation and workflow orchestration. Develop and maintain robust SQL queries, stored procedures, and data models to support reporting and analytical requirements. Implement and enforce data governance, quality, and security best ...

Skills- AWS Data Engineer Experience: 9 to 13 years Location: AIA-Pune We are seeking skilled and dynamic Cloud Data Engineers specializing in AWS, Databricks. The ideal candidate will have a strong background in data engineering, with a focus on data ingestion, transformation, and warehousing. They should also possess excellent knowledge of PySpark or Spark, and a proven ability to optimize performance in Spark job executions. Key Responsibilities: - Design, build, and maintain scalable data pipelines for a variety of cloud platforms including AWS. - Implement data ingestion and transformation processes to facilitate efficient data warehousing. - Utilize cloud services to enhance data proce...

Position Title: Data Architect Location: Gurugram (Hybrid) Notice Period: max 2 weeks Job Summary: We are hiring a Data Architect to lead the design and governance of our data layer within the Lakehouse environment (Bronze, Silver, Gold zones). You will define integration patterns, enforce standards, and collaborate across teams to ensure data integrity and accessibility. Key Responsibilities: Own and design the data architecture across the Lakehouse. Define integration patterns, schema strategies, and partitioning methods. Design and govern metadata using Unity Catalog, RBAC, and lineage tools. Define data integration standards (ETL/ELT, batch, API-based). Establish frameworks for data qual...

Your role and responsibilities Role Overview We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems. The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills. Key Responsibilities Work with stakeholders to understand business problems and translate them into ML solutions. Perform data exploration, cleaning, and feature engineering for structured and unstructured datasets. Build and validate models using algorithms for classification, regression, clustering, recommendation, NLP, or CV a...

Your role and responsibilities As a Quality Engineer/tester work with client and IBM stakeholders to identify various business controls for client and work with respective IBM and client to ensure successful implementation of controls identified. Your primary responsibilities include: Software Tester at AT&T for BGW IOT - Microservices and Databricks; Production Support Analyze test specifications and convert them into Manual/Auto Test Cases. Identify the initial setup, input data, appropriate steps, and the expected response in the manual test cases. Conduct sanity testing of the application based on user requirements. Required education Bachelor's Degree Required technical and professional...

Your Role Design and develop scalable data solutions in Azure using Microsoft Fabric Build and optimize data pipelines (ETL/ELT) with Azure Data Factory, Synapse, Dataflows, and Pipelines Integrate data from various structured and unstructured sources Collaborate with AI/ML teams to implement GenAI and NLP models Create and manage data models and data warehouses Ensure data quality, security, and compliance Document data architectures and processing workflows Contribute to CI/CD and DevOps practices for data environments Your Profile Hands-on experience with Azure data services, including Microsoft Fabric (Data Factory, Synapse, OneLake, Notebooks, Pipelines) Strong skills in SQL and Python ...

Your role and responsibilities As a Quality Engineer/tester work with client and IBM stakeholders to identify various business controls for client and work with respective IBM and client to ensure successful implementation of controls identified. Your primary responsibilities include: Software Tester at AT&T for BGW IOT - Microservices and Databricks; Production Support Analyze test specifications and convert them into Manual/Auto Test Cases. Identify the initial setup, input data, appropriate steps, and the expected response in the manual test cases. Conduct sanity testing of the application based on user requirements. Involve in writing test cases based on the user stories. Wrote positive,...

Must-Have Skills Generative AI & ML: Machine Learning, Deep learning, LLMs, fine-tuning, prompt engineering. Programming & Data: Python, PyTorch/TensorFlow, data preprocessing, API integration, data visualization. MLOps & Deployment: MLflow, cloud AI platforms (Databricks/AWS/GCP/Azure). Communication & Problem-Solving: Translating logistics challenges into AI solutions, cross-team collaboration. Good-to-Have Skills Advanced GenAI: Multi-modal and agentic AI, synthetic data generation. Domain Knowledge: Logistics operations (routing, forecasting, warehouse & fleet management). Optimization & Simulation: Reinforcement learning, digital twins, operations research. Data Engineering: ETL pipelin...