2920 Data Bricks Jobs - Page 30

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Python (Programming Language), Amazon Web Services (AWS), PySparkMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with various teams to understand their needs, developing innovative solutions, and en...

Proficient in capital markets analytics and statistical modeling. Experienced in Tableau and Power BI for building dashboards and data visualizations. Skilled in SQL, Databricks, R, and Python for analytical problem-solving. Strong understanding of leasing, financial, and market trend analysis with a focus on delivering actionable insights to stakeholders. Expertise in collaborating with business teams to develop analytical solutions, perform predictive modeling, and ensure continuous learning of emerging tools and methods. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedbad, Pan India

Primary Responsibilities: Ingest data from multiple on-prem and cloud data sources using various tools & capabilities in Azure Design and develop Azure Databricks processes using PySpark/Spark-SQL Design and develop orchestration jobs using ADF, Databricks Workflow Analyzing data engineering processes being developed and act as an SME to troubleshoot performance issues and suggest solutions to improve Building test framework for the Databricks notebook jobs for automated testing before code deployment Design and build POCs to validate new ideas, tools, and architectures in Azure Continuously explore new Azure services and capabilities; assess their applicability to business needs Prepare cas...

Skills: Microsoft Azure, Azure Databricks, ADF,. About The Role : And Responsibilities. Hands-on experience working at a high level in Architecture or Data Science or combination. Azure skills highly preferred, including provisioning, Configuring, and Developing solutions in ADL, ADF, ADW etc. In-depth understanding of database and DWH structure principles. Hands-on experience using MS SQL Server, Oracle or similar RDBMS platform. Distributed Data Processing of big data batch or streaming pipelines. Construction of data science and machine learning research and production pipelines. Familiarity with data visualization tools (e.g. PowerBI, ETL,Tableau etc.). Data Modeling & strong analytics s...

Highly proficient with Data Bricks, Python (Spark), and SQL. Azure certifications related to data engineering or data analytics is a plus Strong experience in database design, data modeling, and data integration. Familiarity with additional programming languages and frameworks such as C#, .Net and Visual Studio is a plus. Experience with reporting and BI tools such as Power BI, SQL Server Reporting Services, and Crystal reports.Understanding of Web APIs including SOAP and REST. Proficient with development methodologies such as Agile. Design, develop, and implement end-to-end data warehouse solutions on the Azure platform using Azure Synapse Analytics, Azure SQL Data Warehouse, and Azure Data...

Job Summary: We are looking for a skilled Data Engineer to join our data engineering team. The ideal candidate will have hands-on experience building and optimizing data pipelines, writing complex SQL queries, and working with cloud-based big data technologies such as Azure Databricks , PySpark , and Python . Experience with Azure or AWS cloud platforms is essential. Key Responsibilities: Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Work with Azure Databricks or AWS Glue/EMR to create and maintain ETL workflows using PySpark and Python . Write complex SQL queries to extract and manipulate ...

Job Description We are looking for an experienced Senior Data Engineer with a strong foundation in Python, SQL, and Spark , and hands-on expertise in AWS, Databricks . In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. Youll work closely with cross-functional teams to drive data reliability, quality, and performance. Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks in AWS such as Glue, S3, Lambda, EMR, Databricks notebooks, workflows and jobs. Building data lake in WS Databricks. Build and maintain robust ETL/ELT workflows using Python and SQL to ...

Position overview DataArt's Data & Analytics Competence Center designs and implements modern data and analytics solutions for mid and large-sized organizations. Operating remotely and in person in numerous R&D centers, the Center of Competence drives innovations in Data Engineering that ensure rapid expansion of our domain and technical expertise and greater customer satisfaction. Our progressive and flexible working principles pave the way to a rewarding work environment and open vast career opportunities. We are looking for a Data Engineer who will join our rapidly growing team. Responsibilities Develop, operate, optimize, test, and maintain the businesss data warehouse, as well as develop...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Exp...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

Role Overview We are looking for a Data Engineer with strong hands-on Databricks experience who will design and optimize scalable data pipelines, work with Delta Lakehouse architectures, and enable advanced analytics across Azure or AWS platforms. Key Responsibilities Develop ETL/ELT pipelines in Databricks using PySpark, Spark SQL, Delta Lake . Use Delta Live Tables for simplified pipeline orchestration. Implement Databricks Auto Loader for real-time/batch data ingestion. Build Databricks SQL dashboards and queries for reporting and analytics. Manage Databricks clusters, jobs, and workflows ensuring cost efficiency. Work with cloud-native services ( ADF, Synapse, ADLS or AWS Glue, S3, Redsh...

Identifying business problems, understand the customer issue and fix the issue. Evaluating reoccurring issues and work on for permanent solution Focus on service improvement. Troubleshooting technical issues and design flaws Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience Azure IAAS, PASS & SAAS services expert and Handson experience on these and below all services. VM, Storage account, Load Balancer, Application Gateway, VNET, Route Table, Azure Bastion, Disaster Recovery, Backup, NSG, Azure update manager, Key Vault etc....

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

Identifying business problems, understand the customer issue and fix the issue. Evaluating reoccurring issues and work on for permanent solution Focus on service improvement. Troubleshooting technical issues and design flaws Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience Azure IAAS, PASS & SAAS services expert and Handson experience on these and below all services. VM, Storage account, Load Balancer, Application Gateway, VNET, Route Table, Azure Bastion, Disaster Recovery, Backup, NSG, Azure update manager, Key Vault etc....

Role Overview We are seeking a Machine Learning Data Scientist with hands-on experience in building, training, and deploying ML models that solve real-world business problems. The ideal candidate should be proficient in ML algorithms, feature engineering, model evaluation, and deployment, with strong programming and statistical skills. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Key Responsibilities Work with stakeholders to understand business problems and translate them into ML solutions. Perform data exploration, cleaning, and feature engineering for structured and unstructured datasets. Build and validate models...

Identifying business problems, understand the customer issue and fix the issue. Evaluating reoccurring issues and work on for permanent solution Focus on service improvement. Troubleshooting technical issues and design flaws Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience Azure IAAS, PASS & SAAS services expert and Handson experience on these and below all services. VM, Storage account, Load Balancer, Application Gateway, VNET, Route Table, Azure Bastion, Disaster Recovery, Backup, NSG, Azure update manager, Key Vault etc....

Identifying business problems, understand the customer issue and fix the issue. Evaluating reoccurring issues and work on for permanent solution Focus on service improvement. Troubleshooting technical issues and design flaws Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience Azure IAAS, PASS & SAAS services expert and Handson experience on these and below all services. VM, Storage account, Load Balancer, Application Gateway, VNET, Route Table, Azure Bastion, Disaster Recovery, Backup, NSG, Azure update manager, Key Vault etc....

Primary Responsibilities: Understanding Business Requirements and translating them into low level design for implementation Estimate the effort required to execute the business requirements Development of intake pipelines to ingest relevant data into Magnus to support analytics and reporting Track and report status on progress of development activities in team forums such as stand-up meetings Participate in planning activities such as Feature Grooming and PI Planning Driving innovation through delivery focused on reducing processing costs, automation of CI/CD pipelines and effective utilization of Azure resources Comply with the terms and conditions of the employment contract, company polici...

Primary Responsibilities: Work on business analysis requests around different business problems Creating analytical findings for the internal clients of UHG as per specifications received from them using information in UHG Specific databases. Manage changing business priorities and scope and work on multiple projects concurrently Self - motivated and proactive with the ability to work in a fast paced environment Document, discuss and resolve business, data, data processing and BI/ reporting issues within the team, across functional teams, and with business stakeholders Present written and verbal data analysis findings, to both the project team and business stakeholders as required to support...

Role Summary: We are seeking a skilled and experienced professional to join our team as a Data Solutions Architect. The ideal candidate will be responsible for designing, implementing, and optimizing modern data architectures and solutions to meet business needs. This role requires expertise in cloud technologies, data engineering, and application development, with a focus on scalability, performance, and cost-effectiveness. Key Responsibilities: Create reference architectures and standards to enable effective solution delivery. Implement modern data lakehouse architecture using Delta Lake, ensuring data reliability and performance. Design scalable data pipelines using Azure Databricks for E...

ETL Data Engineer with Python Work Schedule: 5 Days Onsite Required Skills: Strong programming experience in Python. Proficiency in Pandas, NumPy, and working with SQL queries. Experience in working with Data Lake and processing large volumes of data. Ability to parse and consolidate data from Excel, CSV, and plain text formats. Hands-on experience in writing unit tests, performing regression testing, and implementing error/exception handling. Key Responsibilities: Develop effective Python scripts for data extraction, transformation, and loading (ETL). Perform data manipulation and analysis using Pandas, NumPy, and SQL. Work with structured and unstructured data sources (Excel, CSV, text fil...

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line Data & Analytics Unit Responsibilities Consulting Skills:o Hypothesis-driven problem solvingo Go-to-market pricing and revenue growth executiono Advisory, Presentation, Data Storytellingo Project Leadership and Execution Additional Responsibilities: Typical Work Environment: Collaborative work with cross-functional teams across sales, marketing, and product development Stakeholder Management, Team Handling Fast-paced environment with a focus on delivering timely insights to support business decisions Excellent problem-solving skills and ability to address complex technical challenges. Effective communication skills...

Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Technical and Professional Requirements: Generative AI, AI/ML, Python, Databricks Preferred Skills: Technology->Machine Learning->Generative AI Educational Requirements MCA,Bachelor of Engineering,BCA Se...

Strong Experience in ETL / Data Warehouse Strong Experience in Databricks, Unity Catalogue, Medallion Architecture, Data Lineage & Pyspark, CTE Good Experience in Data Analysis Strong Experience in SQL Queries, Stored Procedures, Views, Functions, UDF (User Defined Functions) Experience in Azure Cloud, ADF, Storage & Containers, Azure DB, Azure Data lake Experience in SQL Server Experience in Data Migration & Production Support"