2919 Data Bricks Jobs - Page 15

Role & responsibilities Design and manage end-to-end ML pipelines for deployment and monitoring. Automate model training, retraining, and deployment workflows . Implement CI/CD for ML models to ensure reliability and scalability. Build real-time dashboards and APIs for model outputs and business consumption. Optimize cloud resources (Azure Databricks, ADF, Azure ML) for performance and cost efficiency. End-to-end model lifecycle management from development to deployment. Collaborate with data scientists, engineers, and business teams to operationalize ML solutions. Preferred candidate profile 3+ years of experience in MLOps / Data Science and model deployment . Strong skills in Python, PySpa...

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve cl...

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 Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements Solution design using Microsoft Azure services and other tools The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.) Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics application...

Senior Solution Architect: RoleOverview Experienced Senior Solution Architect Data to lead the design and governance ofenterprise-wide data platforms and analytics solutions. Lead design andoptimisation of the data ecosystem for a large engineering enterprise with adiverse application landscape that includes multiple ERPs (Baan, Oracle, SAP), cloud platforms, and SaaS solutions. Demonstratedtechnical expertise with strong architectural leadership is a must for therole. Key Responsibilities Define and govern the enterprise data architecture, ensuring alignment with business strategy and IT standards. Design end-to-end data solutions across ingestion, storage, modelling, analytics, and governa...

About the Role: 08 The Team: The Money Market Directories (MMD) team is responsible in data collection and maintenance of a comprehensive web-based information platform tailored specifically for various types of investors and investment managers worldwide. The team creates customer value by providing timely, comprehensive, and accurate data used to help build business relationships enable and identify new sales opportunities and sources of capital perform focused prospecting and develop targeted mailing campaigns. MMD can also provide access to information on key decision makers who manage investment capital worldwide. The Impact: This role will involve working with immediate team members an...

Role & responsibilities As a Azure Data Engineer, you will leverage Azure technologies to drive data transformation, analytics, and machine learning. You will design scalable Databricks data pipelines using PySpark, transforming raw data into actionable insights. Your role includes building, deploying, and maintaining machine learning models using MLlib or TensorFlow while optimizing cloud data integration from Azure Blob Storage, Data Lake, and SQL/NoSQL sources. You will execute large-scale data processing using Spark Pools, fine-tuning configurations for efficiency. Preferred candidate profile The ideal candidate holds a Bachelors or Masters in Computer Science, Data Science, or a related...

Required Skills & Experience Technical Expertise: Strong hands-on experience in Azure Data Factory (ADF) and Databricks . Proficiency in SQL for data validation and reconciliation (including advanced joins, window functions, aggregates). Hands-on experience with PySpark for large-scale data validation and transformations. Strong programming/scripting skills in Python for test automation. ETL/Data Migration Knowledge: Experience in validating large-scale data migration projects . Solid understanding of ETL concepts, data modeling, and data warehouse testing . Expertise in validating data integrity, lineage, and business rules. QA Skills: Strong background in QA methodologies (functional, regr...

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...

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve cl...

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve cl...

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 environment, enter...

Role: Data Engineer Experience: 7+years Location: Remote Work Timings: IST Hrs. REQUIRED Programming: Python, SQL, Spark Cloud Platforms: Azure, Snowflake • Data Tools: DBT, Erwin Data Modeler, Apache Airflow, API Integrations, ADF • Governance: Data masking, metadata management, SOX compliance • Soft Skills: Communication, problem-solving, stakeholder engagement Technical Skills: • 7 years of data engineering or design experience, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting. • 5 years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azur...

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve cl...

BI Transformations : 1) Candidate needs to have 3-6 years Exp. in azure data engineering 2) Needs to have experience in SQL, Python and azure analytical services like ADF, Databricks & Azure storage 3) Needs to have DWH concepts 4) Needs to have agile working knowledge 5) Needs to have good communication skillset & responsibilities Note: Candidate should come to office face to face during the interviews . Only candidates who are willing to come for F2F should apply No Virtual interviews

Key Responsibilities Design scalable ETL/ELT data pipelines using Azure Data Factory, Synapse Pipelines, and Databricks. Develop data ingestion workflows for structured and semi-structured data sources, including IoT streams and batch files. Define and enforce data modeling standards for the raw, curated, and semantic layers in ADLS Gen2. Create PySpark jobs and reusable transformation frameworks for cleansing, validation, and enrichment. Oversee data partitioning, versioning, and metadata strategies to ensure high performance and maintainability. Coordinate with ML engineers to support feature engineering pipelines and training datasets. Mentor data engineers, conduct code reviews, and enfo...

Skill: Ai Engineer Experience: 5+ Years Location: Pan India (Except: Chennai) Notice Period: Immediate - 15 Days JOB SUMMARY: Experienced AI engineer who is hands on with building & deploying Gen AI & Agentic models, azure OpenAI service, data bricks, LLM evaluations and Machine learning with Python, Spark and SQL.

We have an opportunity Snowflake + Dremio + Databricks in PWC AC Position: Snowflake + Dremio + Databricks Experience Required: 8-12 Years Notice Period: Immediate to 60 Days Locations: Bangalore, Hyderabad, Kolkata, Chennai, Pune, Gurgaon & Mumbai Work Mode: Hybrid Education: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Must Have Skills: 1) Azure Data Services 2) Data bricks 3) Snowflake data warehousing, including SQL, Snow pipe 4) SnowSQL, SnowPipe 5) Dremio Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ,ETL data Pipelines, Big Data model techniques using Python / Java Proven experience architecting and implementing large-scale data solutions on Snowflake, including da...

Job Description: Python, SQL, ADF, Databricks ( PySpark, DLT, Unity Catalog, Performance Tuning, Cost Optimization ) along with leadership(self driven, responsible, accountable, Ownership and soft skill (communication, good mindset and behavioural attitude Databricks Associate or professional Certification.

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Financial Analysis Associate within the Research P&A Reporting team, you will be responsible for partnering across the firm to provide financial and strategic analysis and oversight. You will analyze, prepare, and reconcile technical data as well as prepare reports, while always thinking of and devising ways to streamline and minimize cycle times through automated applications and process improvement. You will also help develop recommendations affecting business procedures and operations and maintain financial and reporting systems. Additionally, you will assist the depar...

At PwC, the focus of individuals in managed services is on a variety of outsourced solutions and supporting clients across various functions. They play a crucial role in helping organizations streamline operations, reduce costs, and enhance efficiency by managing key processes and functions on behalf of clients. Skilled in project management, technology, and process optimization, they are adept at delivering high-quality services to clients. Those in managed service management and strategy at PwC concentrate on transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. The role involves continuous improvement processes and optimizing m...

C1X AdTech Pvt Ltd is a fast-growing product and engineering-driven AdTech company building next-generation advertising and marketing technology platforms. Our mission is to empower enterprise clients with the smartest marketing solutions, enabling seamless integration with personalization engines and delivering cross-channel marketing capabilities. We are dedicated to enhancing customer engagement and experiences while focusing on increasing Lifetime Value (LTV) through consistent messaging across all channels.Our engineering team spans front end (UI), back end (Java/Node.js APIs), Big Data, and DevOps , working together to deliver scalable, high-performance products for the digital adverti...

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Employee Platforms team, you serve as a seasoned member of an Incubation and Research team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. This role requires a unique ability to apply state-of-the-art technical skills, work with ambiguity, and deliver projects to completion. You will be i...

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Engineer III at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Supports review of controls to ensure sufficient protection of enterprise data Advises and makes custom con...

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.