4749 Data Bricks Jobs - Page 37

Well versed in Azure Data Engineering: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse, Databricks, SQL Database etc. Hands-on experience in programming languages like Python/Pyspark and SQL

Expertise in Terraform and ARM templates for infrastructure automation. Strong proficiency with Azure Databricks – clusters, jobs, workspace, Unity Catalog. Proficiency in using GitHub / GitHub Actions for CI/CD and infrastructure management.

Expertise in Terraform and ARM templates for infrastructure automation. Strong proficiency with Azure Databricks – clusters, jobs, workspace, Unity Catalog. Proficiency in using GitHub / GitHub Actions for CI/CD and infrastructure management.

Expertise in Terraform and ARM templates for infrastructure automation. Strong proficiency with Azure Databricks – clusters, jobs, workspace, Unity Catalog. Proficiency in using GitHub / GitHub Actions for CI/CD and infrastructure management.

Data Engineer having good experience on Azure Databricks and Python Must Have Databricks Python Azure Good to have ADF Candidate must be proficient in Databricks

Data Engineer having good experience on Azure Databricks and Python Must Have Databricks Python Azure Good to have ADF Candidate must be proficient in Databricks

Data Engineer having good experience on Azure Databricks and Python Must Have Databricks Python Azure Good to have ADF Candidate must be proficient in Databricks

Data Engineer having good experience on Azure Databricks and Python Must Have Databricks Python Azure Good to have ADF Candidate must be proficient in Databricks

Responsibilities: We are looking for a highly skilled Databricks & Azure Senior Data Engineer with at least 6 to 10 years of experience to join our vibrant Data & Analytics team. The ideal candidate should have strong background in Azure data services, including Databricks, Synapse Analytics, Microsoft Fabric, PySpark and SQL. He/She will be responsible for designing, building, and maintaining scalable data solutions that meet business requirements and align with industry best practices. What is expected out of you? 6+ years of experience as a Databricks & Data Engineer, building Azure-based data solutions using Data Factory, Synapse, Databricks. Expertise in Python, SQL (SparkSQL, TSQL, PLS...

Technical Lead Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve...

Job Summary We are seeking a Python Engineer with 6 to 10 years of experience to join our team. The ideal candidate will have expertise in Python Databricks SQL and PySpark with a preference for those with experience in Property & Casualty Insurance. This hybrid role offers the opportunity to work on innovative projects during day shifts without the need for travel. Responsibilities Develop and maintain scalable data processing systems using Python and PySpark to support business objectives. Collaborate with cross-functional teams to design and implement data solutions that enhance decision-making processes. Utilize Databricks SQL to analyze large datasets and generate actionable insights fo...

Skill: Databricks Experience: 6 to 13 years Location: Bhubaneswar Job description 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 models. Staying up-to-date with the latest Databricks...

Skill: Databricks Experience: 6 to 13 years Location: Bhubaneswar Job description 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 models. Staying up-to-date with the latest Databricks...

6+ years of experience in Data Engineer to design and implement scalable data solutions. Deep expertise in cloud data warehousing, ETL/ELT processes, data modeling, and business intelligence. Support design and implementation of end-to-end data solutions leveraging AWS Redshift, Apache Airflow, dbt, and other modern data tools including DataBricks. Experience in Azure Data Stack can also be considered. Develop data models and implement data pipelines to ingest, transform, and load data from various sources into data warehouse. Create and maintain Apache Airflow DAGs to orchestrate complex data workflows and ETL processes. Implement data transformations and modeling using dbt to ensure data q...

We are looking for skilled PySparkDevelopers to design and develop scalable data processing solutions. Therole involves working with big data platforms , building ETL pipelines ,and collaborating with cross-functional teams to ensure data availability,performance, and quality. Qualification:BE / B. Tech Location:Pune, Key Responsibilities Design, develop, and optimize ETL/ELT pipelines using PySpark. Ingest, clean, transform, and process structured/semi-structured/unstructured data. Work with large-scale datasets on distributed computing platforms (Hadoop, Spark, Databricks). Integrate data from multiple sources including Delta Lake, Data Lake, RDBMS, APIs. Ensure high-performance, scalabili...

Minimum of 15+ years overall IT industry experience Must Have- Extensive experience on Infrastructure and Terraform Azure Certification is highly preferred 5-8 years'' experience in Azure Cloud Infra and Platform architecture, design and implementation of high-volume web apps like Ecommerce Microservices, Data Transformation Solutions, Event Driven Architecture Solutions Sound experience in working with Azure Platforms enabling Microservices Architecture preferably in Ecommerce or High-volume web apps Hands-on experience in ARM templates and Terraform IaC to provision and configure Azure resources across Network, Storage, PaaS Platforms like AKS, Cosmos, Service Bus (or similar platforms) et...

Job Description: Must have: Proven hands-on experience designing, building, and maintaining data solutions using Databricks and Azure Data Factory. Experience in gathering and translating business requirements into effective technical solutions. Strong background in building and optimizing ETL (Extraction, Transformation, Loading) processes using Azure Databricks and SQL technologies Experience in designing and maintaining data architectures and data models that support business intelligence and analytics Ability to implement processes and systems to monitor and ensure data quality, accuracy, and availability Demonstrated ability to work with analytics, business, product, and executive teams...

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview At TE Connectivity, our People Analytics organization is a strategic partner to the business, leveraging data and analytics to drive informed decision-making across the employee lifecycle. Our team transforms workforce data into actionable insights that support talent strategy, organizational effectiveness, and employee experience. We collaborate closely with HR and business leaders to understand their challenges and opportunities, delivering innovative analytics solutions tailored to their needs. By fostering a data-driven c...

Skill: Databricks Experience: 6 to 9 years Location: Kolkata Job description 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 models. Staying up-to-date with the latest Databricks feat...

Join our Data Analytics team and be a key player in developing innovative, data-driven solutions for Aftersales. We are looking for team-oriented, responsible, and passionate professionals who thrive on innovation and want to help shape our Aftersales data strategy. Your focus will be on applying intelligent data analysis to generate valuable business insights, directly impacting strategic decisions and operational efficiency. If youre excited about data engineering, decentralized architectures, and building high-impact data products, wed love to hear from you! JD of the position Roles & Responsibilities Design & Build Scalable Data Solutions Improve data processing efficiency, ensuring scal...

Summary: We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and engineering teams to solve complex business problems, identify data-driven opportunities, and create personalized experiences for customers. You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks. Key Responsibilities: Analytics Model Development: Analyze use cases and design appropriate analytics models using statistical and machine learning algorith...

Role & responsibilities Strong data engineering skills using SQL, Databricks Sound foundation in SQL and analytics Should have SQL Query optimization skills Extensive experience working in an agile environment Financial services experience, particularly in banking (consumer or business banking) Extensive experience working in an agile environment Code management tools (Git, GitHub) Cloud data platforms exposure (AWS Redshift, Databricks) is preferred Responsibilities : Strong communication and stakeholder management skills Excellent problem solving, troubleshooting & documentation skills

3-4 years of experience Experience on Snowflake, Databricks, Pyspark, Python Good in SQL, ETL, Performance optimization Good to have skills - Power BI

Title : Senior Databricks Architect Location : Mumbai, Gurgaon, Hyderabad About the Role We are seeking a Senior Databricks Architect to lead the design and implementation of scalable, secure, and cost-optimized data platforms on Azure using Databricks. You will own end-to-end architecture for data ingestion, transformation, governance, and analytics, and mentor engineering teams to deliver high-quality data solutions. Key Responsibilities Architect and implement enterprise-grade data platforms on Azure Databricks (DLT, Workflows, Unity Catalog) with strong security, governance, and reliability. Design end-to-end data pipelines: batch and streaming (Structured Streaming), CDC, and near real-...

Job Summary We are seeking a Data Engineer to work on a Generative AI initiative to join our team. The ideal candidate will have a deep understanding of data modeling, data schemas and has developed ETLs from various sources eensuring high data availability, fault tolerance and security and governance. Responsibilities: Collaborate with stakeholders to understand data requirements and design scalable and efficient data models, schemas, and architectures on the Azure platform. Develop and implement data integration and ETL (Extract, Transform, Load) processes to ingest, transform, and load data from various sources into Azure data storage systems. Build and maintain scalable and reliable data...