12507 Databricks Jobs - Page 2

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and d...

#HIRING for a highly motivated and experienced AI/ML Engineer or Data Scientist to join our growing team. We’re a leading software company specializing in Artificial Intelligence, Machine Learning, Data Analytics, Innovative data solutions, Cloud-based technologies If you're passionate about building robust applications and thrive in a dynamic environment, please share your resume a t rizwana@randomtrees.com. Role: AI/ML Engineer Location: Chennai (Hybrid - 3 days office in a week) Mandatory Skills: AI, ML, Algorithms, Generative AI, LLM, RAG, NLP, Python and SQL. Job Description: Strong experience in developing and deploying AI systems using Python, PyTorch, leveraging Databricks, Snowflake...

About The Role We are seeking a Data Engineer with around 4 years of experience specializing in Snowflake and Databricks . The role involves building scalable data pipelines, optimizing data warehouses, and enabling advanced analytics and ML workloads. The ideal candidate will be proficient in Python, PySpark, and SQL , with hands-on expertise in modern cloud data platforms. Key Responsibilities Design, build, and optimize ETL/ELT pipelines using Databricks (PySpark, Delta Lake) and Snowflake. Develop and maintain data ingestion frameworks for structured, semi-structured, and unstructured data. Implement data modeling in Snowflake (Star/Snowflake schema, fact/dimension design). Optimize perf...

No of openings: 5 Must : Databricks or equivalent bigdata frameworks, CDC (change Data Capture), Kafka 6+ years of experience designing and building data pipelines using Apache Spark, Databricks or equivalent bigdata frameworks. • Handson expertise with streaming and messaging systems such as Apache Kafka (publish subscribe architecture), Confluent Cloud, RabbitMQ or Azure Event Hub. Experience creating producers, consumers and topics and integrating them into downstream processing. • Deep understanding of relational databases and CDC. Proficiency in SQL Server, Oracle or other RDBMSs; experience capturing change events using Debezium or native CDC tools and transforming them for downstream ...

Job Description We are looking for a highly skilled Data Analyst with deep experience in Azure Databricks , SQL , and data reporting —especially in banking/financial domains . The ideal candidate will bring strong technical expertise, business acumen, and hands-on experience working with large datasets in a cloud environment. Responsibilities Design, develop, and maintain scalable data pipelines in Azure Perform advanced data analysis using SQL, Python, and Databricks Collaborate with business stakeholders to gather requirements and deliver insights Develop data visualizations and dashboards using Power BI or similar tools Ensure data quality, governance, and compliance best practices Suppor...

About Client: Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations. The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world. They provide a variety of services, including consulting, technology, professional, and outsourcing services. Job Title: Full Stack Developer Location: Pune Exp...

It's more than a career at NAB. It's about more meaningful work, more global opportunities and more innovation beyond boundaries . Your job is just one part of your life. When you bring your ideas, energy, and hunger for growth, you'll be recognised and rewarded for your contribution in return. You'll have our support to excel for our customers, deliver positive change for our communities and grow your career. NAB has established NAB Innovation Centre India as a centre for operations and technology excellence to support NAB deliver faster, better, and more personalized experience to customers and colleagues. At NAB India, we're ramping-up and growing at a very fast pace. Our passionate leade...

As an Azure Senior Developer at PwC - AC, your role involves the end-to-end implementation of Cloud data engineering solutions. You must have strong experience in Azure cloud using Storage services (Blob, ADLS, PaaS SQL), Azure Data factory, Azure Databricks, Snowflake, and SQL. Your planning and organization skills should be excellent, and you should be able to work as a cloud developer/lead on an agile team to provide automated cloud solutions. You are expected to have 8-14 years of hands-on experience. **Key Responsibilities:** - 5+ years of experience working in Azure ADLS, Databricks, Azure Data factory, SQL, Data Flows, Snowflake - Should be aware of Data Management concepts and Data M...

You will capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: - Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals - Solving complex data problems to deliver insights that help our business achieve its goals - Sourcing data (structured and unstructured) from various touchpoints, formatting, and organizing them into an analyzable format - Creating data products for analytics team members to improve productivity - Calling AI services like vision, translation, etc., to generate an outcome that can be used in further steps along t...

As a Software Engineering Manager at SAP, you will lead the App2App Integration team within the SAP Business Data Cloud. Your role will involve driving the design, development, and delivery of integration services that facilitate real-time, secure, and scalable data exchange across SAP's enterprise applications and unified data fabric. **Key Responsibilities:** - Own end-to-end delivery of App2App integration components and services using Java, Apache Kafka, RESTful APIs, and modern data pipelines. - Accelerate the App2App integration roadmap by identifying reusable patterns, driving platform automation, and establishing best practices. - Drive the evolution of ETL pipelines and real-time da...

Role Overview: As an Azure Senior Developer at PwC - AC, you will be responsible for the end-to-end implementation of Cloud data engineering solutions. Your role will involve utilizing your expertise in Azure cloud services such as Storage services (Blob, ADLS, PaaS SQL), Azure Data factory, Azure Databricks, Snowflake, and SQL. You will play a key role in planning, organizing, and providing automated cloud solutions as part of an agile team. Key Responsibilities: - Work on the implementation of Cloud data engineering solutions using Azure cloud services like Storage services, Azure Data factory, Azure Databricks, Snowflake, and SQL - Extract data from various source systems like flat files,...

Role Overview: At PwC, as a member of the business intelligence team, you will be focused on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will have the opportunity to develop and implement innovative solutions to optimize business performance and enhance competitive advantage. Your role will involve designing, building, and maintaining scalable ETL pipelines and data solutions while collaborating with cross-functional teams to uphold data integrity and quality. Key Responsibilities: - Design, build, and maintain exemplary ETL pipelines and data solutions - Collaborate with cross-functional teams to uphold data integrity and q...

As an experienced Data Engineer, your role will involve designing, implementing, and optimizing a global data handling and synchronization solution across multiple regions. You will work with cloud-based databases, data lakes, and distributed systems, ensuring compliance with data residency and privacy requirements such as GDPR. Key Responsibilities: - Design and implement data pipelines for global and regional data synchronization using Azure SQL, Data Lake, Data Factory, PySpark, etc. - Develop solutions for secure handling of PII and non-PII data, ensuring compliance with GDPR and other regulations. - Build and optimize ETL processes for anonymization, transformation, global synchronizati...

Role Overview: You will be at the forefront of building the modern data platform at Addepar. As a hands-on staff engineer, you will bring technical vision to build the core infrastructure and toolings for the modern data platform of Addepar. Key Responsibilities: - Work in partnership with engineering partners and other platform users to identify requirements and priorities, and map out solutions for challenging technology and workflow problems. - Make Addepar's Data Lakehouse the central financial data hub by establishing integrations with various data sources. - Act as a technical lead for a high-performing team of engineers in India who can design, develop, and deploy data Lakehouse solut...

You are a Lead Data Engineer responsible for architecting and guiding the design and implementation of a global data handling and synchronization platform. In this role, you will provide technical leadership to a small team of data engineers and advise on master data management (MDM) best practices to ensure compliance with global data residency and privacy requirements like GDPR. **Key Responsibilities:** - Lead the design and implementation of data pipelines for global and regional data synchronization using Azure SQL, Data Lake, Data Factory, PySpark, etc. - Define the data architecture and drive MDM strategies to maintain consistent, high-quality data across regions. - Develop and enforc...

You will be a Senior Data Engineer at Beige Bananas, a rapidly growing pure play AI consulting firm focusing on building hyper custom AI products for Fortune 500 Retail, CPG, and Media companies. With an outcome-driven mindset, you will accelerate value realization from clients" analytics investments. **Key Responsibilities:** - Design and implement scalable data architectures - Build and maintain real-time and batch processing pipelines - Optimize data pipeline performance and costs - Ensure data quality, governance, and security - Collaborate with ML teams on feature stores and model pipelines **Qualifications Required:** - Data Engineering and Data Modeling skills - Experience in Extract ...

Role Overview: As a Marketing & CRM Analytics at Tredence, you will lead analytical projects focusing on driving customer and marketing strategies for Fortune 100 clients. This role requires a combination of strong hands-on analytical skills and team leadership. You will be responsible for designing and implementing advanced marketing and CRM analytics solutions, developing predictive models, and providing guidance to junior consultants. Additionally, you will have close interactions with senior client stakeholders. Key Responsibilities: - Lead end-to-end marketing analytics projects to deliver high-quality and actionable insights. - Collaborate with business leaders and CRM managers to iden...

As a ML/Dev Ops Engineer at DHI Consultancy, you will be responsible for: - Having 5 to 10 years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning systems. - Being an immediate joiner, able to start immediately or within a very short notice period. - Demonstrating expert-level proficiency with mlFlow, Seldon, and Kubeflow MLOps tools. - Possessing strong practical experience with Databricks and Tecton (or similar feature stores) for Data & Feature Engineering. - Having deep knowledge of AWS services for computing, storage, networking, and security for Cloud & Infrastructure. - Showing proven ability to build and manage automated pipelines using Jenkins ...

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Data Scientist II The Role The candidate, will be working on numerous AI and ML initiatives, spanning across different use cases and stages of delivery. You will expected to ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Engineering Good to have skills : Microsoft Azure Analytics Services, Microsoft Azure Data Services, Microsoft Azure Databricks Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typi...

You are invited to join a dynamic team for a long-term project as a Spark & Databricks Developer. Your role involves designing, developing, and optimizing big data pipelines using Apache Spark, building scalable data solutions on Databricks, collaborating with cross-functional teams for data integration, and managing version control using GitHub. Your responsibilities also include ensuring data quality, performance tuning, and participating in code reviews, testing, and documentation. Key Responsibilities: - Design, develop, and optimize big data pipelines using Apache Spark - Build and maintain scalable data solutions on Databricks - Collaborate with cross-functional teams for data integrat...

About TripleLift We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance. As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals an...

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description For Senior Data Engineer Rank – Senior Location – Bengaluru, Hyderabad, Pune Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on...

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Data Engineering Manager leads large scale solution architecture design and optimisation to provide streamlined insights to partners throughout the business. This individual leads the team of Mid and Senior data engineers to partner with visualization on data quality and troubleshooting needs. The Data Engineering m...

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...