12593 Databricks Jobs - Page 40

We are seeking a skilled Databricks Developer to join our team on a 4-month contract basis. The ideal candidate will have strong expertise in modern data engineering technologies and the ability to work in a fast-paced, remote environment. Key Responsibilities : - Develop, optimize, and manage large-scale data pipelines using Databricks, PySpark, DBT, and AWS S3/Glue/Redshift. - Work in multi-cloud environments including AWS, Azure, and GCP. - Implement workflow orchestration using Airflow or similar frameworks. - Design, implement, and manage data warehouse solutions, schema evolution, and data versioning. - Collaborate with cross-functional teams to deliver high-quality data solutions. Req...

We are looking for an experienced Databricks Tech Lead to join our team on a 4-month extendable contract. The ideal candidate will bring deep expertise in data engineering, big data platforms, and cloud-based data warehouse solutions, with the ability to work in a fast-paced remote environment. Key Responsibilities : - Lead the design, optimization, and management of large-scale data pipelines using Databricks, Spark (PySpark), and AWS data services. - Productionize and deploy Big Data platforms and applications across multi-cloud environments (AWS, Azure, GCP). - Build and manage data warehouse solutions, schema evolution, and data versioning. - Implement and manage workflow orchestration u...

We are looking for an experienced Databricks Tech Lead to join our team on a 4-month extendable contract. The ideal candidate will bring deep expertise in data engineering, big data platforms, and cloud-based data warehouse solutions, with the ability to work in a fast-paced remote environment. Key Responsibilities : - Lead the design, optimization, and management of large-scale data pipelines using Databricks, Spark (PySpark), and AWS data services. - Productionize and deploy Big Data platforms and applications across multi-cloud environments (AWS, Azure, GCP). - Build and manage data warehouse solutions, schema evolution, and data versioning. - Implement and manage workflow orchestration u...

We are seeking a skilled Databricks Developer to join our team on a 4-month contract basis. The ideal candidate will have strong expertise in modern data engineering technologies and the ability to work in a fast-paced, remote environment. Key Responsibilities : - Develop, optimize, and manage large-scale data pipelines using Databricks, PySpark, DBT, and AWS S3/Glue/Redshift. - Work in multi-cloud environments including AWS, Azure, and GCP. - Implement workflow orchestration using Airflow or similar frameworks. - Design, implement, and manage data warehouse solutions, schema evolution, and data versioning. - Collaborate with cross-functional teams to deliver high-quality data solutions. Req...

We are seeking a skilled Databricks Developer to join our team on a 4-month contract basis. The ideal candidate will have strong expertise in modern data engineering technologies and the ability to work in a fast-paced, remote environment. Key Responsibilities : - Develop, optimize, and manage large-scale data pipelines using Databricks, PySpark, DBT, and AWS S3/Glue/Redshift. - Work in multi-cloud environments including AWS, Azure, and GCP. - Implement workflow orchestration using Airflow or similar frameworks. - Design, implement, and manage data warehouse solutions, schema evolution, and data versioning. - Collaborate with cross-functional teams to deliver high-quality data solutions. Req...

Domain Architect Data Engineering Experience : Minimum of 13+ years of experience as a Data Architect in complex, large-scale data environments. SSIS, Databricks Expertise : Strong hands-on experience working with SSIS, Databricks, including using Apache Spark for data processing and optimization. ETL Tools : Proficient with various ETL tools and frameworks such as Informatica, Talend, or SSIS or DataBricks Big Data Technologies: In-depth knowledge of big data processing frameworks like Spark, Flink, Hadoop, Kafka, etc. NoSQL/MongoDB: Expertise in working with NoSQL databases, especially MongoDB, for large-scale data storage, retrieval, and optimization. Programming Skills: Proficient in SQL...

We are seeking a dynamic professional with strong experience in Databricks and Machine Learning to design and implement scalable data pipelines and ML solutions. The ideal candidate will work closely with data scientists, analysts, and business teams to deliver high-performance data products and predictive models. Key Responsibilities: Design, develop, and optimize data pipelines using Databricks , PySpark , and Delta Lake Build and deploy Machine Learning models at scale Perform data wrangling , feature engineering , and model tuning Collaborate with cross-functional teams for ML model integration and monitoring Implement MLflow for model versioning and tracking Ensure best practices in MLO...

We are looking for a highly skilled Analytics & Data Engineering professional with a strong background in Machine Learning, MLOps, and DevOps . The ideal candidate will have experience designing and implementing scalable data and analytics pipelines, enabling production-grade ML systems, and supporting agent-based development leveraging MCP/OpenAPI to MCP wrapper and A2A protocols . This role combines hands-on technical work with solution design, and will require close collaboration with data scientists, product teams, and engineering stakeholders. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT processes for analytics and ML workloads. Implement MLOps fr...

Experience in designing, building, and managing data solutions on Azure. Design, develop, and optimize big data pipelines and architectures on Azure. Implement ETL/ELT processes using Azure Data Factory, Databricks, and Spark. Required Candidate profile 5yrs of exp in data engineering and big data technologies. Hands-on experience with Azure services (Azure Data Factory, Azure Synapse, Azure SQL, ADLS, etc.). Databricks Certification (Mandatory).

• SQL, Databricks, and Microsoft Fabric – foundational tools for data modeling, ETL, and data pipelines • ETL Development & Data Automation – experience building and maintaining robust data pipeline Required Candidate profile 3–5 years in data engineering roles, ideally within supply chain or logistics environments Agile Methodology – working in sprint cycles and collaborating with cross-functional teams

Decision Analytics EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered...

MLOps We are looking for a highly skilled Analytics & Data Engineering professional with a strong background in Machine Learning, MLOps, and DevOps . The ideal candidate will have experience designing and implementing scalable data and analytics pipelines, enabling production-grade ML systems, and supporting agent-based development leveraging MCP/OpenAPI to MCP wrapper and A2A protocols . This role combines hands-on technical work with solution design, and will require close collaboration with data scientists, product teams, and engineering stakeholders. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT processes for analytics and ML workloads. Implement ML...

Minimum Exp - 5 years For 1 position, Databricks is must For all other skills, please refer the skills required. The candidates must have strong working knowledge in data engineering with special focus on Azure, python, cloud, data management and website based data extraction . Immediate joiners only as the position needs to be closed given tight client deadlines

Key Responsibilities & Skillsets: 5-10 years of relevant DE experience Azure Databricks– ability to create data transformation logics Strong programming skills in Python and experience with SQL. Should be able to write complex SQL, Transact SQL, Stored Procedures ETL tool – Azure data factory, Data Bricks Experience with Data Modelling DWH - Snowflake Excellent communication skills and stakeholder management Ability to work independently in IC role Good to have Knowledge on Snowflake platform Knowledge on PowerBI Familiarity with CI/CD practices and version control (e.g., Git) Familiarity with Azure DevOps

Job Summary Job Summary: We are looking for a hands on Azure Enterprise Architect with strong technical expertise in Azure and Databricks to join our team. This role is critical in driving cloud and data architecture for high impact projects across multiple accounts, starting with the WBG account. The ideal candidate will not only provide strategic architectural guidance but also be actively involved in design, development, and troubleshooting of solutions on Azure and Databricks platforms. Key Responsibilities: Lead the design and architecture of scalable, secure, and high performance solutions on Microsoft Azure. Provide expert guidance on integrating Azure Databricks within cloud based da...

Role Overview: SDE/DE We are seeking technically strong Senior Data Engineers / Leads who can take ownership of designing and developing cutting-edge data and AI platforms using big data and cloud technologies on Microsoft Azure. You will play a critical role in building scalable data pipelines, modern data architectures, and intelligent analytics solutions. Key Responsibilities Design and implement scalable, metadata-driven frameworks for data ingestion, quality, and transformation across both batch and streaming datasets. Develop and optimize end-to-end data pipelines to process structured and unstructured data, enabling the creation of analytical data products. Build robust exception hand...

Job role- Data engineer Experience - 4 to 6 years Location - Hyderabad Skills - Databricks , SQL , python ,Core java

Who we are Tiger Analytics is a global leader in Data, AI, and Analytics, helping Fortune 500 companies solve their most complex business challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 5000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and ...

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 4+ years. Hands-on experience in Big Data Engineering. Strong working experience in Python, Pyspark, Databricks, AWS (S3, EMR, Glue, Lambda, Redshift) and SQL Server . Hands on working experience in PySpark. Solid understanding of...

About Koantek Koantek is a Databricks Pure-Play Elite Partner, helping enterprises modernize faster and unlock the full power of Data and AI. Backed by Databricks Ventures and honored as a six-time Databricks Partner of the Year, we enable global enterprises to modernize at speed, operationalize AI, and realize the full value of their data. Our deep expertise spans industries such as healthcare, financial services, retail, and SaaS, delivering end-to-end solutions from rapid prototyping to production-scale AI deployments. Description: As a Senior Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your ...

Job Title: Senior Azure Data Engineer Location: Chennai Experience: 5+ Years Job Description We are seeking an experienced Azure Data Engineer to join our team in Chennai. The ideal candidate will have strong expertise in designing and implementing data solutions on Microsoft Azure, with hands-on experience in data pipelines, data modeling, and real-time data streaming. Experience with Microsoft Fabric and Event Hub is a strong plus. Responsibilities Design, build, and optimize data pipelines and ETL processes on Azure. Work with Azure Data Factory, Data Lake, and other Azure data services. Develop and maintain data integration and transformation workflows. Implement real-time streaming and ...

We are seeking a Database Engineer with 1 to 3 years of strong expertise in database design, optimization, and management. The ideal candidate will be skilled in architecting scalable, secure, and high-performance databases, ensuring data integrity, and supporting AI-driven applications. You will collaborate closely with our AI/Engineering teams to optimize storage, retrieval, and analytics pipelines, with additional opportunities to work on Azure Databricks for advanced data processing and analytics. Key Responsibilities Design, develop, and maintain scalable database architectures (SQL & NoSQL). Optimize database queries, indexing, and performance tuning. Ensure data security, compliance, ...

Job Title: Python Developer – AI/ML & Data Science Experience: 4–7 Years Responsibilities Develop, optimize, and maintain Python-based applications with strong integration of Django frameworks . Design, build, and deploy AI/ML models (supervised, unsupervised, deep learning) for real-world applications. Perform data preprocessing, feature engineering, and model training to enhance performance and accuracy. Work with large-scale datasets using Big Data frameworks (Hadoop, Spark, Databricks, etc.). Build and manage end-to-end data pipelines (ETL/ELT) for scalable and reliable workflows. Implement MLOps practices (CI/CD pipelines, model deployment, monitoring, retraining). Conduct data modeling...

Job Posting What You Will Do : Design, develop, and maintain robust, scalable, and efficient data pipelines and ETL/ELT processes. Lead and execute data engineering projects from inception to completion, ensuring timely delivery and high quality. Build and optimize data architectures for operational and analytical purposes. Collaborate with cross-functional teams to gather and define data requirements. Implement data quality, data governance, and data security practices. Manage and optimize cloud-based data platforms (Azure\AWS). Develop and maintain Python/PySpark libraries for data ingestion, Processing and integration with both internal and external data sources. Design and optimize scala...

About the Company JMAN Group is a fast-growing data engineering & data science consultancy. We work primarily with Private Equity Funds and their Portfolio Companies to create commercial value using Data & Artificial Intelligence. In addition, we also work with growth businesses, large corporates, multinationals, and charities. We are headquartered in London with Offices in New York, London and Chennai. Our team of over 450 people is a unique blend of individuals with skills across commercial consulting, data science and software engineering. We were founded by cousins Anush Newman (Co-founder & CEO) and Leo Valan (Co-founder & CTO) and have grown rapidly since 2019. In May 2023 we took a mi...