12593 Databricks Jobs - Page 16

Role: Senior Data Architect Location: Bangalore Experience: 10 + Years Notice Period: Immediate Joiners Only Job Description: Required Skills & Qualifications Strong experience in data modeling (conceptual, logical, physical) – not limited to dimensional modeling . Proven expertise in ETL development, data integration, and pipeline design . Hands-on knowledge of Azure Data Engineering services (e.g., Data Factory, Databricks, Synapse, etc.). Solid understanding of enterprise data architecture frameworks . Excellent communication and stakeholder management skills . Demonstrated ability to work proactively and visibly across teams , not just in a siloed environment. Experience managing cross-f...

As a Data Engineer at Valorem Reply, you will be responsible for designing and contributing to the architecture of database systems, including both normalized transactional systems and dimensional reporting systems. Your expertise with SQL Server and Microsoft technologies, as well as experience in implementing Big Data solutions using Databricks, will be essential for success in this role. You will play a key role in providing data solutions to support business applications and reporting systems, working closely with customers to deliver effective solutions. Proficiency in Power BI and Azure Data Services is a must to excel in this position. Key Responsibilities: - Design and implement arch...

As a Data Engineer with 3-5 years of experience, your role will involve implementing scalable and sustainable data engineering solutions using tools like Databricks, Snowflake, Teradata, Apache Spark, and Python. You will be responsible for creating, maintaining, and optimizing data pipelines as workloads transition from development to production for specific use cases. Your ownership will extend to end-to-end development tasks, including coding, testing, debugging, and deployment. Your key responsibilities will include: - Driving automation through the use of modern tools and techniques to automate repeatable data preparation and integration tasks, thereby enhancing productivity. - Mapping ...

Role Overview: As a highly skilled and experienced Senior Data Engineer at Magna, you will lead the data engineering & analytics team by designing, implementing, and managing data infrastructure and analytical systems. Your role will involve utilizing your technical expertise in data modeling, ETL processes, and database management to ensure efficient and accurate data flow. Additionally, as the team lead, you will provide guidance and mentorship to other data engineers, driving the team's success. Key Responsibilities: - Design, develop, and implement data models, ETL processes, and data pipelines using Databricks for efficient data flow. - Lead and manage a team of data engineers, offering...

$30K-$45K per year Full-time position India Build the AI that builds teams Mercor trains large-scale models that predict on-the-job performance more accurately than any human interview. Their platform already powers hiring at the top AI labs, and they scaled from $1 M to $100 M ARR in 11 months—which they say makes them the fastest-growing AI startup on record. What you’ll do In your first year you’ll ship production code every week across Python- and Go-based services and a React/Next.js frontend that screens millions of candidates. You’ll design new microservices—real-time ranking, interview analytics, and payouts that move millions of dollars—while pairing with senior engineers to profile...

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 : Microsoft Azure Databricks Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also ...

Role Overview: As a proficient individual, your main responsibility will be to systematically develop and promote technology solutions that meet both functional and non-functional requirements. Your outcomes should include developing and promoting technical solutions supporting business requirements, ensuring IT requirements are met, and service quality is maintained when introducing new services. It is essential to consider the cost-effectiveness of proposed solutions and set FAST goals while providing feedback to mentees. Your role also includes being innovative and technically sound in project analysis, upholding standards and best practices, providing innovative contributions to automate...

As an AI/ML Computational Science Assoc Mgr at Accenture, your role involves analyzing and solving moderately complex problems. You will be expected to create new solutions, adapting existing methods when necessary. Understanding the strategic direction set by senior management is crucial for achieving team goals. Your primary upward interaction will be with your direct supervisor or team leads, with additional interactions with peers and/or management levels at clients or within Accenture. You should be able to work independently with minimal guidance when determining methods and procedures for new assignments. Your decisions may impact your team and occasionally other teams. If in an indiv...

Company Description MLAI_Digital is a GenAI_Agentic Specialised Organisation(8 Years old) providing Various Cognitive Products well suited for major BFSI Institutions. Offices in US(ohio) 🇺🇸 ,Singapore 🇸🇬 (PTE), Malaysia , India 🇮🇳 and Australia(MEL) 🇦🇺 Domain expertise:- FINANCIAL INSTITUTIONS(Banks & Insurance) and Fraud Analytics for Financial Transactions Role Description This is a full-time on-site role for a Senior Databricks Engineer located in Mumbai. As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Data Factory, Azure Databricks, Azure SQL DW and other Big Data related technologies). In additio...

Company Description MLAI_Digital is a GenAI_Agentic Specialised Organisation(8 Years old) providing Various Cognitive Products well suited for major BFSI Institutions. Offices in US(ohio) 🇺🇸 ,Singapore 🇸🇬 (PTE), Malaysia , India 🇮🇳 and Australia(MEL) 🇦🇺 Domain expertise:- FINANCIAL INSTITUTIONS(Banks & Insurance) and Fraud Analytics for Financial Transactions Role Description This is a full-time on-site role for a GenAI Engineer located in Mumbai. Apply for a highly demanded new age job – a Data Scientist/ GenAI LLM Engineer. Be part of MLAI Digital team working in Mumbai and delivering projects to world leaders in various fields, like Finances, Insurance and others. Working at the edge of A...

As an Analytics Engineer at DoorDash, you will play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You will work closely with partner teams to drive end-to-end analytics initiatives, collaborating with Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators. Your responsibilities will include: - Collaborating with data scientists, data engineers, and business stakeholders to understand business needs, and translating that scope into data requirements - Identifying key business questions and problems to solve for, and generating insights by developing structured solutions to resolve them - Leading the d...

Job Title: Data Architect – Azure & Enterprise Data Experience: 10+ Years Location: Bangalore | Gurugram Notice: Immediate Joiners Only Role Overview We are seeking an experienced Data Architect with over 10 years of expertise in Enterprise Data Management, Data Engineering, and Data Architecture . The ideal candidate will have strong skills in data modeling (conceptual & logical, not limited to dimensional modeling) , ETL and pipeline design , and Azure cloud technologies . This role requires a proactive leader who is visible, collaborative, and capable of engaging with multiple stakeholders across cross-functional teams , particularly in the Oil & Gas (O&G) domain. Key Responsibilities Def...

As an Ignition Application Administrator at EY, you will be joining the Enterprise Services Data team. Your role will involve administering the existing analytics platforms, with a primary focus on Ignition. You will work closely with platform administrators, developers, Product/Project Seniors, and Customers to ensure smooth operations and efficient management of the Ignition platform. Additionally, you will have the opportunity to operate in a start-up-like environment within a Fortune 50 company, contributing to the digital focus aimed at releasing insights for best-in-class products and services. **Responsibilities:** - Install and configure Ignition. - Monitor the Ignition platform, int...

As a Data Architect at Beinex, you will be responsible for collaborating with the Sales team to build RFPs, Pre-sales activities, Project Delivery, and support. You will deliver on-site technical engagements with customers, participate in pre-sales on-site visits, understand customer requirements, define project timelines, and oversee implementation. Your delivery engagements will involve on and off-site projects to assist customers in migrating from their existing data warehouses using other databases to Snowflake. Key Responsibilities: - Collaborate with Sales team for RFPs, Pre-sales activities, Project Delivery, and support - Participate in on-site technical engagements with customers - ...

As the Lead Technical Architect for Strategy & Optimization Data Lake & Analytics, your role will involve the following responsibilities: - Manage Project Delivery, including overseeing scope, timelines, budget, resource allocation, and risk mitigation. - Develop and maintain robust data ingestion pipelines, covering batch, streaming, and API sources. - Provide architectural inputs during incident escalations and act as the final authority for RCA documentation and closure related to ADF, Power BI, and Databricks. - Define and enforce data governance, metadata, and quality standards across different zones. - Monitor performance, optimize data formats such as Parquet, and tune for cost-effici...

Role Overview: As a Senior Data Engineer with 10-12 years of experience, you will play a crucial role in building scalable batch and streaming data pipelines using Databricks (PySpark) and Snowflake. You will lead the design, implementation, and optimization of application data stores using PostgreSQL, DynamoDB, and advanced SQL. Your strong programming skills in SQL, Python, and PySpark will be essential for efficient data processing. Additionally, you will work with structured (CSV, SQL), semi-structured (JSON, XML), and unstructured (PDF, logs) data formats. Key Responsibilities: - Design and build scalable batch and streaming data pipelines using Databricks (PySpark) and Snowflake. - Lea...

You will be responsible for leading the data engineering team and driving data architecture initiatives. Your primary focus will be on designing and developing end-to-end data solutions, data pipelines, and ETL processes using various data technologies such as Snowflake, Databricks, Apache Spark, Hadoop, Dbt, Fivetran, and Azure Data Factory. Your strong expertise in Python and SQL will be crucial for success in this role. Key Responsibilities: - Designing and developing end-to-end data solutions, data pipelines, and ETL processes - Ensuring data governance, data quality, and data security principles are adhered to - Leading projects and teams in an Agile environment - Engaging in pre-sales ...

We are looking for a highly motivated and passionate Cloud Solution Architect to drive high priority customer initiatives in enabling customers to bring their AI-powered applications to production scale on Azure platform in collaboration with partner and the Microsoft field in Enterprise accounts segment of our business. This is a customer-facing role, owning overall technical relationship pivotal in driving delivery excellence , technical depth , and customer success across Unified and Factory engagements, helping customers to leverage their Microsoft investments through architecture, implementation, and operational health engagements. You will own the Azure based applications platform and ...

Job Description About the Role: We are seeking an Azure Data Engineer with 5+ years of experience with Azure Data Engineering Stack such as Data Factory, Databricks, Synapse, Event Hub, Cosmos DB, ADLS Gen2, Function app. Requirements Minimum 3+ years of experience with Python / Pyspark. Good understanding of other Azure services. Excellent knowledge of SQL. Good understanding of Data Warehouse Architecture, Data Modelling and design concepts. Experience in Power BI, SFTP, Messaging, APIs. Lead and guide the data engineering team technically and share best practices with the team. Experience of working in Agile delivery. Knowledge of software development best practices DP200/DP201 certificat...

Role Overview: You will be joining Material+ as a Lead Data Scientist, where your primary focus will be on Generative AI models, multi-agent system architecture, and data science techniques. Your expertise in Python and AI/ML libraries, along with strong knowledge in data preprocessing, feature engineering, and model evaluation will be crucial for this role. Key Responsibilities: - Utilize Generative AI models such as Azure OpenAI GPT and multi-agent frameworks like LangChain or AutoGen. - Demonstrate proficiency in Python and AI/ML libraries including TensorFlow, PyTorch, and Scikit-learn. - Implement Data Science techniques for data preprocessing, feature engineering, and model evaluation....

As a Data Architect at EY, you'll have the opportunity to showcase your deep knowledge of data management in cloud and big data analytics, along with proven experience in building solutions, handling large teams, and demonstrating thought leadership. Your responsibilities will include: - Building solutions and capabilities in cloud and big data analytics - Hands-on knowledge of all major Big Data analytics platforms and cloud data engineering stack - Designing and implementing robust data solutions using cloud-based technologies - Expertise in various data-related tools and languages - Familiarity with Cloud computing platforms such as Azure, Databricks, and Snowflake - Knowledge of Apache S...

Job Description: You should have a Bachelor's degree (or equivalent) in mathematics, computer science, economics, or statistics related field with at least 3 years of experience in data, decision making, or related areas. It is essential to possess strong skills in SQL, Python, Databricks, and MS Excel. Additionally, you should demonstrate an aptitude for learning other analytics tools. A key aspect of this role involves proficiency in compiling data, creating reports, and presenting information, including expertise with queries. Your proven experience in working in a fast-paced environment supporting multiple concurrent projects is crucial. You must be able to translate business needs into ...

Role Overview: As a Software Engineer III at JPMorgan Chase within the Corporate Technology, you will be a seasoned member of an agile team responsible for designing and delivering trusted market-leading technology products in a secure, stable, and scalable manner. Your role involves executing software solutions, development, and technical troubleshooting while maintaining high-quality production code and algorithms. You will contribute to the architecture and design of complex applications, ensuring design constraints are met by software code development. Additionally, you will analyze and synthesize data sets to drive continuous improvement of software applications and systems. Your proact...

As an experienced data engineer, your role will involve enabling data frameworks to automate domain-specific data and analytics workflows. You will be responsible for incorporating GenAI into data engineering workflows, applications, or internal data and analytics tools. Additionally, optimizing ETL workflows to enhance data processing efficiency and reliability will be a key part of your responsibilities. Ensuring data integrity and performance in big data workflows and building frameworks to automate test suites and streamline data operations will also be crucial tasks. You will be developing and deploying AI-powered support tools for developers, such as code suggestion bots, to help ident...

As a Data Scientist / MLOps Engineer at our company, you will play a vital role in designing, developing, and deploying scalable machine learning solutions. Your focus will be on operational excellence, data engineering, and GenAI integration. Below are the key responsibilities, qualifications required, and additional details about our company: **Key Responsibilities:** - Build and maintain scalable machine learning pipelines using Python. - Deploy and monitor models using MLFlow and MLOps stacks. - Design and implement data workflows using standard Python libraries such as PySpark. - Utilize standard data science libraries (scikit-learn, pandas, numpy, matplotlib, etc.) for model developmen...