200 Synapse Analytics Jobs - Page 6

You have experience with Azure Data Bricks, Data Factory, and Azure Data components such as Azure SQL Database, Azure SQL Warehouse, and SYNAPSE Analytics. You are proficient in Python, Pyspark, Scala, and Hive Programming. In addition, you have hands-on experience with Azure Databricks/ADB and building CI/CD pipelines in Data environments. Your primary skills include ADF (Azure Data Factory) or ADB (Azure Data Bricks). You also possess excellent verbal and written communication skills, along with strong interpersonal skills. You are capable of working both independently and collaboratively within a team environment. In summary, you are a skilled professional with expertise in Azure Data ser...

You have experience with Azure Data Bricks, Data Factory, Azure Data components like Azure SQL Database, Azure SQL Warehouse, and SYNAPSE Analytics. You are proficient in Python, Pyspark, Scala, and Hive Programming. You also have experience in building CI/CD pipelines in Data environments. Your primary skills include ADF (Azure Data Factory) or ADB (Azure Data Bricks). Additionally, you possess excellent verbal and written communication skills along with the ability to work both independently and within a team environment. For the AWS Data Engineer role, you should have at least 2 years of experience working on the AWS Cloud platform with strong knowledge in Python. Knowledge of AWS service...

As an Azure Data Engineer (Databricks Specialist) at CrossAsyst, you will be part of our high-impact Data & AI team, working on critical client-facing projects. With over 5 years of experience, you will utilize your expertise in Azure data services and Databricks to build robust, scalable data pipelines and drive technology innovation for our clients in Pune. Your key responsibilities will include designing, developing, and deploying end-to-end data pipelines using Azure Databricks, Data Factory, and Synapse. You will be responsible for data ingestion, transformation, and wrangling from various sources, optimizing Spark jobs and Databricks notebooks for performance and cost-efficiency. Imple...

You are a seasoned Delivery Lead specializing in Azure Integration Services with over 12 years of experience. Your role involves managing and delivering enterprise-grade Azure projects, including implementation, migration, and upgrades. As a strategic leader, you should have in-depth expertise in Azure services and a proven track record of successfully managing enterprise customers and driving project success across Azure Integration and Data platforms. Your key responsibilities include leading end-to-end delivery of Azure integration, data, and analytics projects, ensuring scope, timeline, and budget adherence. You will plan and manage execution roadmaps, define milestones, handle dependenc...

You will be responsible for architecting data warehousing and business intelligence solutions to address cross-functional business challenges. This will involve interacting with business stakeholders to gather requirements and deliver comprehensive Data Engineering, Data Warehousing, and analytics solutions. Additionally, you will collaborate with other technology teams to extract, transform, and load data from diverse sources. You should have a minimum of 5-8 years of end-to-end Data Engineering Development experience, preferably across industries such as Retail, FMCG, Manufacturing, Finance, Oil & Gas. Experience in functional domains like Sales, Procurement, Cost Control, Business Develop...

What you will do: Must be able to drive different analytics initiatives in close collaboration with the business leaders Must be able to develop mathematical / analytical models for resolving complex business problems Should be fully adept on process mapping and lead six sigma tools to provide the process realignment support prior to analytics solutioning Must be able to create dashboards / applications using Power Apps, SSIS, Power BI, Alteryx, MS-Access and advanced excel Must be able to design & develop custom report and provide inferential analysis Must have working knowledge on Azure data engineering tools e.g. Databricks, Azure data factory, Synapse Analytics, Logic Apps etc. Must have...

Responsibilities: * Design, develop & maintain data pipelines using Azure/AWS, Synapse Analytics, Fabric & PySpark.

5+ Years of Data and Analytics experience with minimum 3 years in Azure Cloud Excellent communication and interpersonal skills. Extensive experience in Azure stack ADLS, Azure SQL DB, Azure Data Factory, Azure Data bricks, Azure Synapse, Cosmo DB, Analysis Services, Event Hub etc.. Experience in job scheduling using Oozie or Airflow or any other ETL scheduler Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala. Good experience in designing & delivering data analytics solutions using Azure Cloud native services. Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data int...

As a Senior Analyst - Data Analytics, you will leverage your 3+ years of experience in Data Analytics and reporting to design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Your strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R will be instrumental in performing advanced data analysis and visualization to support business decision-making. You will utilize your experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue to develop and maintain data pipelines and queries using SQL and Python. Applying data science techniques such as predictive modeling, classification, clustering, and regression, you w...

Job Title: Developer Work Location: Kolkata, WB/ Bangalore, KA/ Hyderabad, TS/ Bhubaneswar, OR Skills Required: Azure Data Factory Experience Range in Required Skills: 6-8 Job Description: Azure Data Engineer - What is Strictly Required: Minimum 5-6 years of hands-on experience in ETL pipeline using Azure Data factory /Azure synapse 3-4 weeks of notice period Average to excellent communication skill and has experience of managing client delivery independently.

Role & responsibilities Primary Skills: Bigdata, Hadoop/ Apache Hive Must have Skills: Synapse, Data Lake Experience:8 to 12 years Location/ Shift/ Work Mode: Bangalore or Hyderabad 1 to 10pm Preferred candidate profile: Strong knowledge of distributed computing and big data frameworks: Hadoop, Spark, Hive, Presto, Kafka Hands-on experience with cloud platforms: AWS (S3, Glue, EMR, Athena, Redshift) or Azure (Synapse, ADLS, Data Factory) or GCP (Big Query, Dataflow, Pub/Sub) Deep understanding of data lake, Lakehouse, and warehouse design principles Proficiency in data modeling, schema design, partitioning strategies, and metadata management Experience with CI/CD, Terraform, Git, and orchest...

As a Microsoft Fabric Professional at YASH Technologies, you will be responsible for leveraging your 12+ years of experience in Microsoft Azure Data Engineering to drive analytical projects. Your expertise will be crucial in designing, developing, and deploying high-volume ETL pipelines using Azure, Microsoft Fabric, and Databricks for complex models. Your hands-on experience with Azure Data Factory, Databricks, Azure Functions, Synapse Analytics, Data Lake, Delta Lake, and Azure SQL Database will be utilized for managing and processing large-scale data integrations. In this role, you will be expected to optimize Databricks clusters and manage workflows to ensure cost-effective and high-perf...

As an experienced professional with 3-5 years in the field, you will be responsible for handling various technical tasks related to Azure Data Factory, Talend/SISS, MSSQL, Azure, and MySQL. Your expertise in Azure Data Factory will be crucial in this role. Your primary responsibilities will include demonstrating advanced knowledge of Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSRS, T-SQL, and Logic Apps. Your ability to analyze and comprehend complex data sets will play a key role in your daily tasks. Proficiency in Azure Data Lake and other Azure services such as Analysis Service, SQL Databases, Azure DevOps, and CI/CD will be essential for success in this role. Additionally, a solid...

As a Data Engineer, you will be responsible for designing, developing, and maintaining robust ETL pipelines using Azure Data Factory (ADF) to support complex insurance data workflows. You will integrate and extract data from various Guidewire modules (PolicyCenter, BillingCenter, ClaimCenter) to ensure data quality, integrity, and consistency. Building reusable components for data ingestion, transformation, and orchestration across Guidewire and Azure ecosystems will be a key part of your role. Your responsibilities will also include optimizing ADF pipelines for performance, scalability, and cost-efficiency while following industry-standard DevOps and CI/CD practices. Collaborating with solu...

En Derevo empoderamos a las empresas y las personas, liberando el valor de los datos en las organizaciones. Con ms de 15 aos de experiencia, diseamos soluciones de datos e IA de punta a punta, desde la integracin en arquitecturas modernas hasta la implementacin de modelos inteligentes en procesos clave del negocio. Buscamos tu talento como Data Engineer (MS Fabric)!! Es importante que vivas en Mxico o Colombia. Como Data Engineer en Derevo, tu misin ser clave para crear e implementar arquitecturas modernas de datos con alta calidad, impulsando soluciones analticas basadas en tecnologas de Big Data. Disears, mantendrs y optimizars sistemas de multiprocesamiento paralelo, aplicando las mejores...

As a Senior Azure Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines and solutions using Databricks and modern Azure data engineering tools. Your expertise in Databricks and Azure services will be crucial in delivering high-quality, secure, and efficient data platforms. Your key skills and expertise should include a strong hands-on experience with Databricks, proficiency in Azure Data Factory (ADF) for orchestrating ETL workflows, excellent programming skills in Python with advanced PySpark skills, solid understanding of Apache Spark internals and tuning, and expertise in SQL for writing complex queries and optimizing joins. You should also...

Key Responsibilities : Oversee the entire data infrastructure to ensure scalability, operation efficiency and resiliency. - Mentor junior data engineers within the organization. - Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric). - Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage). - Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions. - Optimize data pipelines in the Azu...

Build, optimize data models using Power BI Desktop &DAX for performance &scalability Integrate Power BI reports into other platforms such as SharePoint, Teams or custom apps Perform data extraction, transformation& loading (ETL)using Power Query&Etc Required Candidate profile 5+ yrs exp in reporting & analytics from MS-based data warehouse solution Strong in Agile methodologies& iterative development cycles Min 4 yrs of exp in Power BI 3+ yrs in MS data ecosystem, & Azure

Job Title: IT- Engineer / Senior Engineer Years of Experience: 2-6 Years Mandatory Skills: PowerBI, Tableau Key Responsibilities: Develop on Datalakes technologies including SQL, SYNAPSE, Databricks, PowerBI, and Fabric. Provide tool usage support to business stakeholders (10-20% of the role). Apply data modeling in the semantic layer and understand system structures. Support end-user training and resolve performance and tuning issues. Required Qualifications & Experience: 3 years as an Analyst in large-scale projects. 5 years in back-end/full stack development with Fabric / PowerBI. Experience in SQL environments and Agile (SCRUM) methodologies. Familiarity with data architectural concepts ...

Collaborate with stakeholders to identify and gather reporting requirements, translating them into Power BI dashboards (in collaboration with Power BI developers). Monitor, troubleshoot, and optimize data pipelines and Azure services for performance and reliability. Follow best practices in DevOps to implement CI/CD pipelines. Document pipeline architecture, infrastructure changes, and operational procedures Required Skills Strong understanding of DevOps principles and CI/CD in Azure environments. Proven hands-on experience with: Azure Data Factory Azure Synapse Analytics Azure Function Apps Azure Infrastructure Services (Networking, Storage, RBAC, etc.) PowerShell scripting Experience in de...

Develop and maintain data pipelines, ETL/ELT processes, and workflows to ensure the seamless integration and transformation of data. Architect, implement, and optimize scalable data solutions. Required Candidate profile Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights. Partner with cloud architects and DevOps teams

Job Title: Azure Data Engineer Job Summary: We are looking for a Data Engineer with hands-on experience in the Azure ecosystem. You will be responsible for designing, building, and maintaining both batch and real-time data pipelines using Azure cloud services. Key Responsibilities: Develop and maintain data pipelines using Azure Synapse Analytics, Data Factory, and DataBricks Work with real-time streaming tools like Azure Event Hub, Streaming Analytics, and Apache Kafka Design and manage data storage using ADLS Gen2, Blob Storage, Cosmos DB, and SQL Data Warehouse Use Spark (Python/Scala) for data processing in DataBricks Implement data workflows with tools like Apache Airflow and dbt Automa...

Job Description : This position is for a Cloud Data engineer with a background in Python, DBT, SQL and data warehousing for enterprise level systems. Major Responsibilities: Adhere to standard coding principles and standards. Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity. Design, develop, and deploy python scripts and ETL processes in ADF environment to process and analyze varying volumes of data. Experience of DWH, Data Integration, Cloud, Design and Data Modelling. Proficient in developing programs in Python and SQL Experience with Data warehouse Dimensional data modeling. Working wi...

As a Data Engineer, you will be responsible for designing, developing, and maintaining robust ETL pipelines using Azure Data Factory (ADF) to support complex insurance data workflows. Your role will involve integrating and extracting data from various Guidewire modules such as PolicyCenter, BillingCenter, and ClaimCenter, ensuring data quality, integrity, and consistency. You will be tasked with building reusable components for data ingestion, transformation, and orchestration across Guidewire and Azure ecosystems. Optimizing ADF pipelines for performance, scalability, and cost-efficiency while following industry-standard DevOps and CI/CD practices will be a key part of your responsibilities...

As an experienced professional with 3-5 years of experience, you will be responsible for working with a range of technical skills including Azure Data Factory, Talend/SSIS, MSSQL, Azure, and MySQL. Your primary focus will be on Azure Data Factory, where you will utilize your expertise to handle complex data analysis tasks effectively. In this role, you will demonstrate advanced knowledge in Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSRS, T-SQL, and Logic Apps. It is essential that you possess a solid understanding of Azure Data Lake and Azure Services such as Analysis Service, SQL Databases, Azure DevOps, and CI/CD processes. Furthermore, your responsibilities will include mastering ...