23818 Databricks Jobs - Page 8

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 : Databricks Unified Data Analytics Platform, Microsoft Azure Databricks, Microsoft Azure Data Services, PySpark Good to have skills : NA Minimum 7.5 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...

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 : Databricks Unified Data Analytics Platform, Microsoft Power Business Intelligence (BI), Microsoft Azure Databricks, Microsoft Azure Data Services Good to have skills : NA Minimum 7.5 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 generatio...

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration A...

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: 1. Azure Machine Learning Services: 1. worked on Azure's ML services like Azure ML Studio for designing, deploying, and improving machine learning models is ess...

Technology->Artificial Intelligence->Artificial Intelligence - ALL, Technology->Cloud Platform->Azure Devops, Technology->Data Engineering->Databricks A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will...

Grid Dynamics wants to build a centralized, observable and secure platform for their ML, Computer Vision, LLM and SLM models. Grid Dynamics wants to onboard a vast number of AI agents, able to cover multiple required skills, ensuring a certain level of control and security in regards to their usage and availability. The observable platform must be vendor-agnostic, easy to extend to multiple type of AI applications and flexible in terms of technologies, frameworks and data types. This project is focused on establishing a centralized LLMOps capability where every ML, CV, AI-enabled application is monitored, observed, secured and provides logs of every activity. The solution consists of key bui...

Dear Professionals Greetings from TCS!!! Job Title : Senior Data Engineer (Snowflake, DBT, Azure) Experience : 5-8 Years Location : Only Bangalore/Chennai/Hyderabad/Pune Data Engineer: Required Skills and Qualifications • 5+ years of hands-on experience as a Data Engineer, with a strong portfolio of successful projects delivering robust, scalable, and reliable data solutions. • Strong proficiency in Microsoft SQL Server and Structured Query Language (SQL), including query optimization and advanced data querying. • Experience with scripting and programming languages, including PowerShell, Python, Scala, and working with Json, XML. • Solid experience leveraging technologies such as Snowflake, ...

About the Role We are looking for a highly skilled Data Engineer to design, build, and maintain robust data pipelines and scalable data infrastructure. You will work closely with analytics, product, and engineering teams to enable high-quality data availability for business insights, machine learning, and operational processes. This role is ideal for an engineer who enjoys solving complex data problems, optimizing systems, and ensuring clean, reliable data flows. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using modern data engineering tools. Build and optimize data lakes, data warehouses, and streaming architectures . Work with large and complex datasets to...

Role: Senior Data Engineer/ Lead Data Engineer (Python, PySpark/ Databricks , SQL, AWS) Experience: 4–12 years Location: Hyderabad Work Mode: Hybrid (3 days/week in-office) Open Positions: 6 Join Time: Immediate Domain : Healthcare / Life Sciences Must-Have Technical Skills: Strong programming skills in Python and/or Scala Hands-on experience with Apache Spark / DataBricks for big data processing on AWS cloud Proficiency with AWS services such as S3, AWS Glue, Athena, Redshift, EMR, Lambda Strong SQL skills for data transformation and analytics Experience in Infrastructure as Code (IaC) using Terraform Expertise in setting up and managing CI/CD pipelines with Jenkins Responsibilities: Design...

About BeBetta BeBetta is on a mission to revolutionize the gaming experience by creating the Netflix of Gaming a seamless on-demand gaming platform where users discover, play, and enjoy games instantly. We are a fast-scaling startup backed by passionate founders and a vision to redefine entertainment. Role Overview We are looking for an energetic, highly skilled Data Engineer with 4+ years of experience to join our dynamic engineering team. This role is perfect for someone who loves solving complex data challenges, thrives in fast-paced environments, and wants to work closely with top leadership in a high-impact role. You will own the design, development, and optimization of data pipelines t...

Description At RBHU, we are committed to delivering data-driven solutions that empower decision-making. We work at the intersection of Data, AI, and Analytics, helping clients unlock the value of their data. We are now looking for an enthusiastic Data Engineer with hands-on Databricks experience to join our growing team. Key Responsibilities Develop, maintain, and optimize ETL/ELT pipelines using Databricks. Integrate data from multiple sources into scalable and reliable data solutions. Implement data transformations, cleansing, and enrichment processes. Work closely with data analysts, data scientists, and business teams to deliver analytics-ready datasets. Ensure data quality, performance,...

Role Overview: As a Databricks Administrator, you will play a crucial role in designing, implementing, and maintaining the data platform using Databricks on the Microsoft Azure cloud. Collaboration with cross-functional teams is essential to ensure scalability, reliability, and performance of analytics and data solutions. Key Responsibilities: - Manage the Cloud data platform (Snowflake and Azure Data Bricks) for the Enterprise Project team. - Design and implement system automation, IAM Role Access Management, System and Network Security, Platform Infrastructure, and Feature release management. - Collaborate with teams for self-service module tasks around the platform. Qualifications Require...

As an experienced professional with 6 to 13 years of experience in Databricks, your role will involve the following responsibilities: - Designing, building, and deploying data pipelines and workflows using Databricks. - Developing and optimizing Apache Spark applications for data processing and analytics. - Integrating Databricks with various data sources and platforms. - Implementing data quality checks and monitoring processes. - Managing and configuring the Databricks environment, including clusters and notebooks. - Troubleshooting and resolving issues related to Databricks performance and functionality. - Collaborating with data scientists and analysts to implement machine learning model...

As a Data Scientist in the Pharma domain, you will be involved in analyzing large datasets such as Claims, Sales, and Promotions to generate valuable insights. Your role will also include building and deploying scalable ML/AI models, including Deep Learning, LLMs, and Generative AI. Collaborating with various teams across data, product, and commercial departments will be essential, along with mentoring junior analysts and contributing to SOPs/QC processes. Driving predictive modeling for Healthcare Professional (HCP) behavior and patient journey outcomes will be a significant part of your responsibilities. Key Responsibilities: - Analyze large datasets (Claims, Sales, Promotions, etc.) to ge...

As a Development Lead in the Risk Decisioning Systems (RDS) Team at Barclays, you will embark upon a transformative journey where you will play a crucial role in building and maintaining the systems that collect, store, process, and analyze data. Your responsibilities will include ensuring that all data is accurate, accessible, and secure by working with data pipelines, data warehouses, and data lakes. Key Responsibilities: - Build and maintain data architecture pipelines to enable the transfer and processing of durable, complete, and consistent data. - Design, develop, and test complex ETL components using technologies such as Databricks, Cloud Data, Python, Spark, Ab Initio, SQL, and Big D...

As a Senior Spark Data Engineer at Barclays, you will play a key role in the evolution of the digital landscape, driving innovation and excellence. Your responsibilities will include harnessing cutting-edge technology to revolutionize digital offerings and ensure unparalleled customer experiences. Working collaboratively with fellow engineers, business analysts, and stakeholders, you will deliver technology stacks by leveraging strong analytical and problem-solving skills to understand business requirements and deliver quality solutions. You will tackle complex technical problems that require detailed analytical skills and analysis. **Key Responsibilities:** - Design, build, and maintain dat...

As a Lead Software & Solution Architect at Nokia, you will play a crucial role in developing and implementing data-lake solutions for Nokia's Hardware Services. Your responsibilities will include designing cloud-native architectures, integrating big data platforms, and ensuring robust software engineering practices at every stage of the lifecycle. Collaborating closely with solution architects, business stakeholders, and agile delivery teams, you will bring digital solutions from concept to production, focusing on performance, scalability, and maintainability. - Design and implement end-to-end software and data solutions utilizing Azure, Databricks, Synapse, and other cloud-native tools. - T...

As an Azure Data Engineer at EY, you will be part of a globally connected powerhouse of diverse teams that aims to shape a better working world. Your main responsibilities will include: - Developing and deploying Azure Databricks in a cloud environment using Azure Cloud services. - Designing, developing, and deploying ETL processes in Azure Data Factory. - Collaborating with Onshore teams to understand their business goals and contribute to workstream delivery. - Designing and optimizing model codes to ensure faster execution. To be successful in this role, you should possess the following skills and attributes: - 4 to 7 years of experience in developing data ingestion, data processing, and ...

Your role: Are you passionate about transforming compliance and risk governance through the power of AI and machine learning Do you want to lead strategic innovation in the GCRG (Group Compliance, Regulatory & Governance) space We are looking for a visionary and technically strong AI/ML Engineer to: - Design and Develop the AI/ML strategy across GCRG, aligning with regulatory expectations and business goals. - Lead the design and implementation of scalable AI/ML solutions for group Compliance. - Champion the adoption of responsible AI practices, ensuring transparency, fairness, and explainability in model development and deployment. - Collaborate with cross-functional teams including data sc...

As an Engineer specializing in Artificial Intelligence and Machine Learning, you will be responsible for utilizing your technical skills to design, develop, and deploy AI solutions on the Azure platform. Your experience of 5 to 10 years in AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops will be essential in executing the following key responsibilities: - Implementing supervised and unsupervised ML techniques and Predictive Analytics using Python - Generating features through data exploration and SME requirements - Querying relational databases - Applying computational algorithms and statistical methods to both structured and unstructured data - Communicating results effecti...

Role Overview: As a member of the delivery team, your primary responsibility will be to ensure effective design, development, validation, and support activities to meet client needs and architectural requirements. You will play a crucial role in gathering requirements, translating them into system requirements, and contributing to project estimations. Your contribution will be essential in building efficient programs and systems to support our clients in their digital transformation journey. Key Responsibilities: - Ensure effective design, development, validation, and support activities in line with client needs and architectural requirements - Gather requirements and translate them into sys...

As a highly skilled Software Engineer with strong Python expertise, your role will involve developing and optimizing scalable applications and data workflows. You will integrate diverse data sources and support the development of data-driven products. Your responsibilities will include: - Designing, developing, and maintaining Python-based applications, APIs, and microservices with a focus on performance, scalability, and reliability. - Writing clean, modular, and testable code following best software engineering practices. - Participating in code reviews, debugging, and optimizing existing applications. - Integrating third-party APIs and services for application features or data ingestion. ...

As an SRE (DevOps Databricks) at our company, you will be responsible for the following: - Proficient in Automated Data Platform Setup, including creating jobs/pipelines for data operations, automated promotion and creation of DB in Databricks, along with AI/ML integration with GHA, Delta Lake, managing Workspaces, and Unity Catalog. - Hands-on experience with Lakebase, Clickhouse, Postgres, MongoDB, Azure AI Foundry, OpenAI, LLM/MLOps. - Expertise in Azure cloud platform, cloud-native concepts, private networking, stream data processing, and IAC (Terraform) including RBAC. - Proficient in Logging, Monitoring, PSR, DR/HA, and Python. - Knowledge of GitHub Actions, rollback procedures includi...

As an ML Platform Specialist, your role involves designing, implementing, and maintaining robust machine learning infrastructure and workflows using Databricks Lakehouse Platform. Your responsibilities are critical in ensuring the smooth deployment, monitoring, and scaling of machine learning models across the organization. Key Responsibilities: - Design and implement scalable ML infrastructure on Databricks Lakehouse Platform - Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines for machine learning models using Databricks workflows - Create automated testing and validation processes for machine learning models with Databricks MLflow - Implement and manag...

As a Power BI Architect with 10-15 years of experience, your role will involve designing and implementing end-to-end Power BI solutions integrated with Databricks and Azure data services. You will be responsible for developing and maintaining enterprise BI architecture, collaborating with various teams to gather requirements, defining best practices for BI development, optimizing Power BI performance, guiding development teams, ensuring data security and compliance, and staying updated with the latest trends in Power BI, Azure, and Databricks ecosystem. Key Responsibilities: - Design, architect, and implement end-to-end Power BI solutions integrated with Databricks and other Azure data servi...