17804 Databricks Jobs

Key Skills The ideal candidate would have the following technical, functional and soft skills: • Technical o Confident using SQL to explore, investigate & understand data in a structured database. Current technologies are: Databricks, DBSQL & Databricks Unity Catalog. o Nice but not essential: capable of reading and understanding SQL data transformation scripts. • Functional o Capable of taking business requirements and translating these into technical data requirements with respect to configuring the correct data access rules. o Some background of working with financial data would be beneficial to understand the finance terminology but you dont need to be an accountant! Responsibilities Bei...

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Location/Division Specific Information The team focuse...

Overview Do you love working with data, Artificial Intelligence (AI), and large distributed systems? Do you enjoy solving complex technical challenges and delighting customers while pushing the boundaries of cutting-edge technology at immense scale? Azure Databricks is a Azure service jointly developed and operated by Databricks and Microsoft. It offers the same core Databricks platform but with deep integration into Azure’s ecosystem with a mission to simplify and democratize data and artificial intelligence. From foundational analytics to the bleeding edge of generative AI, our platform is trusted by customers to unlock the value of their data—securely, reliably, and at scale. We're not ju...

Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Come join CE&S and help us accelerate ...

Job Description Position: GenAI DevOps Engineer About The Role As a GenAI DevOps Engineer on our AI Engineering team, you’ll be responsible for building, deploying, and maintaining the infrastructure and automation that powers our generative AI products. You’ll work closely with software engineers and data scientists to ensure scalable, secure, and reliable operations across cloud environments, with a strong focus on CI/CD, observability, and orchestration. Core Responsibilities CI/CD & Workflow Automation Design and maintain automated CI/CD pipelines for GenAI services using GitHub Actions, Azure DevOps, or Jenkins Implement DevOps best practices including code linting, testing, and validat...

Company Description We assist our Research team in deploying AI/ML models and Generative AI solutions into production. To facilitate this, NIQ offers CIS: NIQ’s internal cloud-native self-service platform that empowers MLOps, Data Scientists, and Generative AI teams to experiment, support the complete AI/ML lifecycle, and utilize shared Generative AI capabilities. You will be collaborating with the DevOps activities for the CIS platform Job Description Job Responsibilities (List the major responsibilities/outcomes expected of this role) Conducting requirements analysis and preparing specific proposals Perform feasibility studies/analysis with a critical point of view Support in the maintenan...

4 to 6 Years Bangalore Having 5 + years of experience in Nifi, snowflakes , Databricks and python Primary skill on Nifi is Mandatory along with good pyspark/Python hands on experience. Create pipeline in Snowflake and should be aware of the functions in Snowflake Good communication skills is mandatory Should be flexible with WFO guidelines if there is an ask from the customer Job Location: Bangalore Apply for this position Full Name * Email * Phone * Cover Letter * Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Database Management Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We're looking for a visionary Full Stack Data Engineer on cognitive Hybrid Cloud technologies across publi...

Greetings from Tata Consultancy Services!!! TCS is conducting Weekday Virtual drive for the role of Azure Data Engineer Years of experience: 6 to 10 yrs Location: Hyderabad Notice Period: 0 to 60 days Date of Interview: 19,20,21st Nov 2025 Time of Interview: 10 AM to 2 PM Interview Mode: Virtual Mode Ex-TCSers are not applicable Job description: Relevant experience in Pyspark and Azure Databricks. Proficiency in integrating, transforming, and consolidating data from various structured and unstructured data sources. Good experience in SQL or native SQL query languages. Strong experience in implementing Databricks notebooks using Python. Good experience in Azure Data Factory, ADLS, Storage Ser...

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Database Management Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We're looking for a visionary Full Stack Data Engineer on cognitive Hybrid Cloud technologies across publi...

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Database Management Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We're looking for a visionary Full Stack Data Engineer on cognitive Hybrid Cloud technologies across publi...

About Atos Group Atos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. € 10 billion, operating in 67 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris. The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contri...

Job ID: Clo-ETP-Ind-1099 Location: India,Pune Job Summary: We are seeking a skilled and experienced Cloud Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining data solutions on the Azure/AWS cloud platforms. The candidate should have a strong background in data engineering, including ETL processes, data warehousing, and database management. The role requires expertise in Databricks other relevant technologies. The Data Engineer will collaborate with cross-functional teams to ensure the successful delivery of scalable and efficient data solutions. Minimum 3-5 Years of Experience in Data Integration platform on cloud (Azur...

Who We Are Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate...

Primary skills:Technology->Cloud Platform->Azure Development & Solution Architecting Requirements: Experience in Databricks, SQL, PySpark, Spark, Python, and Azure Data Factory (ADF). Experience in designing, developing, and maintaining data pipelines and data streams. Experience in moving/transforming data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark. Experience in working with stakeholders to understand their data needs and provide solutions. Experience in collaborating with other teams to ensure data quality and consistency. Experience in developing and maintaining data models and data dictionaries. Experience in developing and maintaining ETL processes. Experience ...

Role Overview: As a Senior IT Data Analyst at Persistent Ltd., you will be responsible for performing data analysis for various data stores and supporting business intelligence/data warehouse methodologies. Your role will involve gathering business requirements, creating source-to-target mappings, developing scalable reporting processes, and ensuring data integrity. You will also be involved in research on complex data/analytical issues and providing end-to-end solutions for data issues in a production setting. Key Responsibilities: - Gather business requirements for analytical applications in an iterative/agile development model - Create source-to-target mapping and rules definitions based ...

**Job Description:** **Role Overview:** As the Manager of Data Analytics & Solutions at Adidas, your primary responsibility will be to manage and execute data engineering and analytics solutions across various functions such as Consumer Engagement, Competitor Intelligence, and Experience Analytics & Automation. You will lead the development of data pipelines, create data products, ensure data availability for Power BI reports, and drive automation initiatives to enhance operational efficiency. Your technical expertise, leadership skills, and track record in managing impactful data engineering projects will be crucial for this role. **Key Responsibilities:** - **Data Engineering and Developme...

Profile : Senior Data Engineer (Azure) Experience Required : 6+ Years Work Mode : Hybrid Location : Gurgaon, Pune, Jaipur, Bangalore, Bhopal Employment Type : Full-time About The Role We are seeking an experienced Senior Data Engineer with strong expertise in Microsoft Azure ecosystem to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining enterprise-scale data solutions on Azure, working with cutting-edge cloud technologies and big data platforms. Key Responsibilities Data Processing on Azure : Azure Data Factory, Streaming Analytics, Event Hubs, Azure Databricks, Data Migration Service, Data Pipeline. Provisioning, configuring, ...

As an experienced Data Engineering professional with over 12 years of experience, you will be responsible for leading and driving strategic initiatives in the field. Your expertise in cloud data platforms such as Azure, AWS, or GCP will be crucial in this role. You will have a proven track record in data lake, data warehouse, and ETL/ELT architectures, with hands-on experience in tools like Databricks, Snowflake, Apache Spark, Kafka, and Airflow. Key Responsibilities: - Manage teams and strategic initiatives in a leadership or practice lead role. - Design and implement data architectures on cloud platforms. - Utilize tools such as Databricks, Snowflake, Apache Spark, Kafka, and Airflow for d...

Role Overview: As an Integration Architect, you will be responsible for continuously investing in learning and staying up-to-date with the latest trends in Data Governance, Analytics, and Data Science approaches, solutions, frameworks, technology offerings, and best practices. Your role will involve a combination of technical expertise and strong business acumen. Key Responsibilities: - Minimum 4 years of experience with Data Governance including MDM tools, data cataloging, lineage tools, and data quality monitoring - Minimum 3 years of experience in Python, PySpark, and SQL development - 2 years of experience in building data quality monitoring tables in Databricks and presenting results in...

As a Data Engineer at JPMorgan Chase within the Employee Platforms team, you will be responsible for executing creative software and data solutions, developing secure high-quality production code and data pipelines, and identifying opportunities to automate remediation of recurring issues. You will work closely with business stakeholders to understand requirements, design appropriate solutions, and implement robust monitoring and alerting systems to optimize performance and throughput. Additionally, you will design and implement scalable data frameworks for workforce data analytics and share best practices with Platform and Architecture teams. Key Responsibilities: - Execute creative softwar...

As an Architect with over 12 years of experience in Data Modeling/Data Warehousing and 5+ years in Snowflake, your role will involve leading Snowflake optimizations, setting up and configuring Snowflake components, and implementing cloud management frameworks. Your proficiency in Python, PySpark, SQL, and experience with cloud platforms (AWS, Azure, GCP) are essential for this position. **Key Responsibilities:** - Work on Snowflake optimizations at both the warehouse and database levels. - Setup, configure, and deploy Snowflake components, including Databases, Warehouses, and Roles. - Setup and monitor data shares and Snow Pipes for Snowflake projects. - Implement Snowflake Cloud management ...

Role Overview: You will be responsible for leveraging your 4-7 years of experience in BI & DWH technologies and Analytics applications. Your key focus will be on Report Testing using Power BI and writing complex SQL queries for joins and aggregations on SQL databases. Additionally, you will need to have a very good understanding of DWH/BI/ETL concepts, architecture, and analytics. Your role will also involve data testing in complex ETL or Data warehouse environments and data validation automation in Cloud Environment. Knowledge of Alteryx/DreamIO(visualization tool), SQL Server Analysis Services, Databricks, and Unix will be beneficial. Extensive testing experience in Data Quality, ETL, OLAP...

Job Description: You will be responsible for analyzing data related to auto insurance claims. Your role will involve utilizing your experience and expertise in claims insurance analysis, as well as your knowledge of ATLAN tool, Data Catalog, Databricks, and Data Bricks dashboards. Key Responsibilities: - Analyzing data pertaining to auto insurance claims - Applying your experience in claims insurance analysis - Utilizing tools such as ATLAN, Data Catalog, Databricks, and Data Bricks dashboards Qualifications Required: - Prior experience in data analysis, specifically within the auto insurance industry - Knowledge of ATLAN tool, Data Catalog, Databricks, and Data Bricks dashboards (Note: No a...

Role Overview: As an AI Data Engineer, your main responsibility will be to build scalable, high-quality data pipelines that support advanced analytics and AI/ML models. You will play a crucial role in transforming raw data into reliable datasets that are ready for AI applications. If you find satisfaction in working with data and turning it into valuable insights, this role is tailored for you. Key Responsibilities: - Design, build, and maintain end-to-end data pipelines specifically for AI/ML workloads - Develop high-quality datasets suitable for modeling by transforming, cleaning, and enriching raw data - Manage feature stores and assist ML engineers with feature engineering - Collaborate ...