4863 Azure Databricks Jobs - Page 48

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 : Microsoft Azure Databricks Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are...

Job Title: Azure Data Engineer (ADF, Databricks, SQL) Experience: 8 to 12 Years Location: PAN India Available Notice Period: Immediate to 30 Days Employment Type: Full-time Job Summary: We are seeking a skilled and experienced Azure Data Engineer to join our growing team. The ideal candidate should have a strong background in Azure Data Factory (ADF), Azure Databricks (ADB), SQL, and Pyspark, with hands-on expertise in building and optimizing scalable data pipelines and end-to-end ETL workflows in the Azure environment. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Azure Databricks integrated with various data sources and cloud platforms. Create and manage...

About The Role Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Microsoft Azure Data Services Good to have skills : Python (Programming Language), Microsoft Azure Databricks, Microsoft Fabric Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Architect, you will be responsible for architecting the data platform blueprint and implementing...

About The Role 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 that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stake...

About The Role This role requires deep understanding of data warehousing, business intelligence (BI), and data governance principles, with strong focus on the Microsoft technology stack. Data Architecture Develop and maintain the overall data architecture, including data models, data flows, data quality standards. Design and implement data warehouses, data marts, data lakes on Microsoft Azure platform Business Intelligence Design and develop complex BI reports, dashboards, and scorecards using Microsoft Power BI. Data Engineering Work with data engineers to implement ETL/ELT pipelines using Azure Data Factory. Data Governance Establish and enforce data governance policies and standards. Prim...

Data Engineering, or any related role to Data solutions. •Hands-on experience solutioning and implementing analytical capabilities using the Azure Data Analytics platform including, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake. •Candidates should be capable of supporting in all the phases of Analytical Development from identification of key business questions, through Data Collection and ETL. •Good experience in Developing Data solutions in Lakehouse platforms like Dremio is an added benefit. •Strong knowledge of Data Modelling and Data Design is a plus •Microsoft Data Certification is a plus.

Role & responsibilities :- Design and implement modern data architectures across cloud and hybrid environments. Develop and optimize data pipelines and ETL/ELT processes for high-volume, high-velocity data. Lead data platform modernization initiatives using cutting-edge tools and frameworks. Define and enforce data governance, security, and compliance standards. Partner with Data Science, BI, and Product teams to ensure data availability, accuracy, and performance. Provide technical leadership and mentorship to data engineers and developers. Implement DevOps/Data Ops practices for automated testing, deployment, and monitoring. Continuously evaluate and introduce innovative data technologies ...

Role & responsibilities Seeking an experienced Senior Specialist with 7 to 11 years of expertise in Azure Data Factory and Azure SQL to design and manage scalable data integration solutions Job Description Design develop and maintain scalable data pipelines leveraging Azure Data Factory and Azure SQL Implement data integration workflows to support analytics and business intelligence initiatives Collaborate with cross functional teams to understand data requirements and deliver efficient data solutions Optimize data processing and transformation tasks to ensure high performance and reliability Utilize Azure Synapse Analytics Azure Data Lake and Databricks to enhance data storage processing an...

5+ years of experience in Azure Databricks with PySpark. 4+ years of experience in Databricks workflow & Unity catalog. 4+ years of experience in ADF (Azure Data Factory). 4+ years of experience in ADLS Gen 2. 4+ years of experience in Azure SQL. 4+ years of experience in Azure Cloud platform. 3+ years of experience in Python programming & package builds. Data management experience handling Analytics workload covering design, development, and maintainenance of lakehouse solutions sourcing data from platforms such as ERP sources, API sources, Relational stores, NoSQL and on-prem sources using Databricks/PySpark as distributed /big data management service,supporting batch and near-real-time in...

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...

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...

Role & responsibilities Must Have Extensive expertise in designing and implementing data load processes using Azure Data Factory, Azure Databricks, Delta Lake, Azure Delta Lake Storage and Python/PySpark Proficient with Databricks & Python Senior developers with Full Database/ Datawarehouse/ DataMart development capabilities Senior SME with SQL Server required. Proficiency with standard file formats and markup language technology such as JSON, XML, XSLT. Proficiency with Azure Cloud data environments highly desired. Excellent verbal communication skills. Good problem-solving skills. Attention to detail. Proficiency with Data Warehousing principals and design Nice to have Familiarity with oDa...

enior Data Engineer (Azure/Databricks) Overview We are seeking a Senior Data Engineer with 5+ years of hands-on experience in building and scaling data solutions within the Azure ecosystem . The ideal candidate will have deep expertise in Databricks , PySpark , and modern data lake architectures , and be adept at designing robust ETL pipelines and data workflows. Key Responsibilities Design, develop, and maintain scalable data pipelines using Azure and Databricks . Build efficient data ingestion and transformation workflows with PySpark and Delta Lake . Develop, optimize, and maintain ETL/ELT pipelines using Python and SQL . Implement data modeling , data quality , and governance best practi...

Role & responsibilities JOB DESCRIPTION Develop, test, and deploy data processing applications using Apache Spark and Scala. Optimize and tune Spark applications for better performance on large-scale data sets. Work with the Cloudera Hadoop ecosystem (e.g., HDFS, Hive, Impala, HBase, Kafka) to build data pipelines and storage solutions. Collaborate with data scientists, business analysts, and other developers to understand data requirements and deliver solutions. Design and implement high-performance data processing and analytics solutions. Ensure data integrity, accuracy, and security across all processing tasks. Troubleshoot and resolve performance issues in Spark, Cloudera, and related te...

Job Title: Snowflake Data Engineer Key Skill: Snowflake , Snowpipe , Data Warehousing , Advance SQL Job description: Design, develop, and maintain robust ELT/ETL data pipelines to load structured and semi-structured data into Snowflake. Implement data ingestion workflows using tools like Azure Data Factory, Informatica, DBT, or custom Python/SQL scripts. Write and optimize complex SQL queries, stored procedures, views, and UDFs within Snowflake. Use Snowpipe for continuous data ingestion and manage tasks, streams, and file formats for near real-time processing Optimize query performance using techniques like clustering keys, result caching, materialized views, and pruning strategies. Monitor...

Contract Duration : 4 Months +Exendible based on Performance Job Timings : India Evening Shift (till 11 : 30 PM IST) 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 ...

Contract Duration : 4 Months (Extendable based on Performance) Job Timings : India Evening Shift (till 11 : 30 PM IST) Job Description : 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, ...

Contract Duration : 4 Months (Extendable based on Performance) Job Timings : India Evening Shift (till 11 : 30 PM IST) Job Description : 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, ...

Contract Duration : 4 Months (Extendable based on Performance) Job Timings : India Evening Shift (till 11 : 30 PM IST) Job Description : 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, ...

We are looking for a skilled and experienced Databricks Engineer to join our team at our Hyderabad (Madhapur) office. The ideal candidate will have a strong background in data engineering, hands-on experience with Databricks, and a solid understanding of cloud platforms (AWS, Azure, or GCP). This is a great opportunity to work on cutting-edge data projects in a collaborative and fast-paced environment. Key Responsibilities : - Design and implement scalable and efficient data pipelines, ETL/ELT processes, and data integration solutions using Databricks. - Work with large-scale structured and unstructured datasets using Python, PySpark, SQL, and NoSQL technologies. - Collaborate with cross-fun...

Responsibilities: Design, develop & maintain data pipelines using Azure Data Factory & SQL. Optimize performance through data modeling & query optimization. Scala Gradle is mandatory, please don't apply if you don't have experience.

Description: Objective:Build and maintain data pipelines and infrastructure to support data storage and processing. Key Responsibilities: -Design develop and optimize data pipelines using Azure Databricks. -Ensure data reliability scalability and quality. -Integrate data sources into a unified platform. -Monitor and troubleshoot data workflows. Skills Required: -Expertise in Azure Databricks Spark and big data tools. -Strong programming skills (e.g. Python Scala SQL). -Knowledge of ETL processes and cloud technologies. -Familiarity with CI/CD practices for data pipelines Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade :C Level :To Be Defined Named J...

Description: Objective:Prepare and transform raw data into structured formats for analysis. Key Responsibilities: -Extract clean and preprocess data for use in analytics and modeling. -Work with unstructured and structured data sources. -Collaborate with analysts and engineers to ensure data readiness. -Automate repetitive data processing tasks. Skills Required: -Proficiency in Python SQL and data manipulation libraries. -Experience in data wrangling and cleansing techniques. -Strong problem-solving and critical-thinking skills. -Familiarity with Azure Databricks workflows. -Good to have decent knowledge of basic math & stat for data interpretation Named Job Posting? (if Yes - needs to be ap...