12 Stream Analytics Jobs

As an experienced professional with 4+ years in data engineering, you will be responsible for the following: - Strong proficiency in writing complex SQL queries, stored procedures, and performance tuning to ensure efficient data retrieval and manipulation. - Expertise in Azure Data Factory (ADF) for creating pipelines, data flows, and orchestrating data movement within the Azure environment. - Proficiency in SQL Server Integration Services (SSIS) for ETL processes, package creation, and deployment to facilitate seamless data integration. - Knowledge of Azure Synapse Analytics for data warehousing, distributed query execution, and integration with various Azure services. - Familiarity with Jupyter Notebooks or Synapse Notebooks for data exploration and transformation. - Understanding of Azure Blob Storage, Data Lake Storage, and their integration with data pipelines for efficient data storage and retrieval. - Experience in Azure Analysis Services for building and managing semantic models to support business intelligence requirements. - Knowledge of various data ingestion methods including batch processing, real-time streaming, and incremental data loads to ensure timely and accurate data processing. Additional Skills that would be advantageous for this role include: - Experience in integrating Fabric with Power BI, Synapse, and other Azure services to enhance data visualization and analytics capabilities. - Setting up CI/CD pipelines for ETL/ELT processes using tools like Azure DevOps or GitHub Actions to streamline the data pipeline deployment process. - Familiarity with tools like Azure Event Hubs or Stream Analytics for large-scale data ingestion to support real-time data processing needs. This position is based in Chennai, India and there is currently 1 open position available.,

Required Skills: Experience with Microsoft Azure and Microsoft BI stack Experience developing Azure Data Factory, SQL, Databricks (PySpark, Scala, SQL), Stream Analytics, Components experience in working on data lake & DW solutions on Azure Experience in configuring and managing Azure DevOps pipelines Lead and implement data pipelines for software solutions and ensure that technology deliverables are met based on business requirements ETL Architecture design and implementation at enterprise level Work with subject matter experts and Data/ Business Analysts to understand business data and related processes Using Agile and DevOps methods, build platform architecture using a variety of sources (on-premises such as SQL Server, cloud IaaS/ SaaS such as Azure). Implement rules & automate data cleansing, mapping, transformation, logging, and exception handling. Experience in designing and implementing BI solution on Azure, (ADLS, Azure Databricks, ADF, Azure Synapse, Azure SQL, etc.) Design, build, and deploy databases and data stores Participate in cross-functional teams to promote technology strategies, analyze, and test products, perform proofs-of-concept, and pilot new technologies and/or methods. Establish and document standards, guidelines, and best practices for teams utilizing the solutions. Implement / operationalize Analytics by developing representations and visualizations in BI. Work with clients (internal or external) to determine business requirements, priorities, define key performance indicators (KPI) Data management experience, strong excel skills (pivot tables, VLOOKUP's, etc.), stronghold in Power BI Design, and document dashboards, alerts, and reports either on a regular recurring basis or as needed. Development experience using the below technologies Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Synapse SQL SQL Server Azure Event Hub Azure Function Azure App Services Having knowledge of the following will be a plus Power Apps Microsoft SharePoint Power Automate Dynamic 365 Understanding of DevOps practices Demonstrates teamwork and collaboration Passionate about new technologies Certification in DP-200, DP-201, DP-203, DA-100, PL-300, AZ-900

The ideal candidate for this role should have a minimum of 4 years of experience in the following areas: Requirements: - Strong skills in writing complex queries, stored procedures, and performance tuning using SQL. - Expertise in creating pipelines, data flows, and orchestrating data movement in Azure Data Factory (ADF). - Proficiency in ETL processes, package creation, and deployment using SQL Server Integration Services (SSIS). - Knowledge of data warehousing, distributed query execution, and integration with Azure services in Azure Synapse Analytics. - Familiarity with Jupyter Notebooks or Synapse Notebooks for data exploration and transformation. - Understanding of Azure Blob Storage, Data Lake Storage, and their integration with data pipelines in Azure Storage. - Experience in building and managing semantic models for business intelligence in Azure Analysis Services. - Knowledge of data ingestion methods such as batch processing, real-time streaming, and incremental data loads. Additional Skills (Added Advantage): - Experience in integrating Fabric with Power BI, Synapse, and other Azure services. - Setting up CI/CD pipelines for ETL/ELT processes using tools like Azure DevOps or GitHub Actions. - Familiarity with tools like Azure Event Hubs or Stream Analytics for large-scale data ingestion. Location: Chennai, INDIA Number of Positions: 1,

We Are Hiring! Sr. Azure Data Engineer at GSPANN Technologies - 5 + years of experience . Application Process: If you are ready to take the next step in your career and be a part of a leading IT services company, please send your updated CV to heena.ruchwani@gspann.com. 5 + years of experience . Location: Hyderabad, Gurgaon Key Skills & Experience: Azure Synapse Analytics Azure Data Factory (ADF) PySpark Databricks Expertise in developing and maintaining Stored Procedures Proven experience in designing and implementing scalable data solutions in Azure Preferred Qualifications: Minimum 6 years of hands-on experience working with Azure Data Services Strong analytical and problem-solving skills Excellent communication skills, both verbal and written Ability to collaborate effectively in a fast-paced, cross-functional environment Immediate Joiners Only: We are looking for professionals who can join immediately and contribute to dynamic projects. Application Process: If you are ready to take the next step in your career and be a part of a leading IT services company, please send your updated CV to heena.ruchwani@gspann.com. Join GSPANN Technologies and accelerate your career with exciting opportunities in data engineering!

1. Data Engineer Azure Data Services 2. Data Modelling NO SQL and SQL 3. Good understanding of Spark, Spark stream 4. Hands on with Python / Pandas / Data Factory / Cosmos DB / Data Bricks / Event Hubs / Stream Analytics 5. Knowledge of medallion architecture, data vaults, data marts etc. 6. Preferably Azure Data associate exam certified.

As a Principal Technical Specialist, you will lead teams in technical discussions, architecture strategy, and system design for high-performance applications. You will collaborate with architects and developers to define workflows, interfaces, and domain models, leveraging SQL and NoSQL databases. Your role requires a hands-on approach, strong communication skills, and the ability to translate complex technical concepts into actionable insights. You have: Bachelors degree in Engineering with 12 to 15 years of relevant work experience. Experience with architectural patterns and programming languages such as Java, Python/Shell, and Golang. Familiarity with frameworks like Spring, Guice, or Micronaut, and libraries such as Pandas, Keras, Pytorch, Scipy, and Numpy. Experience with Kafka, Spark, and databases (SQLPostgres, Oracle; NoSQLElastic, Prometheus, Mongo, Cassandra, Redis, and Pinot). It would be nice if you also had: Experience in OLTP/real-time system management in enterprise software. Experience in both large-scale and small-scale development, with the ability to model domain-specific systems. Expertise in data engineering, statistical analytics, and AI/ML techniques (AI experience is a plus). Knowledge of NMS/EMS for the telecom domain, including Network Operational Lifecycle and Network Planning. Lead and Guide the team in technical discussions. Expertise in Java, Python/Shell, and frameworks like Spring, Kafka, and AI/ML libraries will drive innovation in telecom network management and real-time enterprise software. Analyze and decompose requirements. Work on long lead items and define architecture strategy for the application. Work with architects and developers in other applications and define interfaces and workflows. With a strong foundation in statistical analytics, data engineering and AI/ML. Communicate and present to internal and external audiences.

Urgently Hiring for Senior Azure Data Engineer Job Location- Bangalore Minimum exp - Total 7+yrs with min 4 years relevant exp Keywords Databricks, Pyspark, SCALA, SQL, Live / Streaming data, batch processing data Share CV siddhi.pandey@adecco.com OR Call 6366783349 Roles and Responsibilities: The Data Engineer will work on data engineering projects for various business units, focusing on delivery of complex data management solutions by leveraging industry best practices. They work with the project team to build the most efficient data pipelines and data management solutions that make data easily available for consuming applications and analytical solutions. A Data engineer is expected to possess strong technical skills Key Characteristics Technology champion who constantly pursues skill enhancement and has inherent curiosity to understand work from multiple dimensions Interest and passion in Big Data technologies and appreciates the value that can be brought in with an effective data management solution Has worked on real data challenges and handled high volume, velocity, and variety of data. Excellent analytical & problem-solving skills, willingness to take ownership and resolve technical challenges. Contributes to community building initiatives like CoE, CoP. Mandatory skills: Azure - Master ELT - Skill Data Modeling - Skill Data Integration & Ingestion - Skill Data Manipulation and Processing - Skill GITHUB, Action, Azure DevOps - Skill Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill Optional skills: Experience in project management, running a scrum team. Experience working with BPC, Planning. Exposure to working with external technical ecosystem. MKDocs documentation Share CV siddhi.pandey@adecco.com OR Call 6366783349

Urgent Hiring _ Azure Data Engineer with a leading Management Consulting Company @ Bangalore Location. Strong expertise in Databricks & Pyspark while dealing with batch processing or live (streaming) data sources. 4+ relevant years of experience in Databricks & Pyspark/Scala 7+ total years of experience Good in data modelling and designing. Ctc- Hike Shall be considered on Current/Last Drawn Pay Apply - rohita.robert@adecco.com Has worked on real data challenges and handled high volume, velocity, and variety of data. Excellent analytical & problem-solving skills, willingness to take ownership and resolve technical challenges. Contributes to community building initiatives like CoE, CoP. Mandatory skills: Azure - Master ELT - Skill Data Modeling - Skill Data Integration & Ingestion - Skill Data Manipulation and Processing - Skill GITHUB, Action, Azure DevOps - Skill Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill

Position : Senior Azure Data Engineer (Only Immediate Joiner) Location : Bangalore Mode of Work : Work from Office Experience : 7 years relevant experience Job Type : Full Time (On Roll) Job Description Roles and Responsibilities: The Data Engineer will work on data engineering projects for various business units, focusing on delivery of complex data management solutions by leveraging industry best practices. They work with the project team to build the most efficient data pipelines and data management solutions that make data easily available for consuming applications and analytical solutions. A Data engineer is expected to possess strong technical skills. Key Characteristics Technology champion who constantly pursues skill enhancement and has inherent curiosity to understand work from multiple dimensions. Interest and passion in Big Data technologies and appreciates the value that can be brought in with an effective data management solution. Has worked on real data challenges and handled high volume, velocity, and variety of data. Excellent analytical & problem-solving skills, willingness to take ownership and resolve technical challenges. Contributes to community building initiatives like CoE, CoP. Mandatory skills: Azure - Master ELT - Skill Data Modeling - Skill Data Integration & Ingestion - Skill Data Manipulation and Processing - Skill GITHUB, Action, Azure DevOps - Skill Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill Optional skills: Experience in project management, running a scrum team. Experience working with BPC, Planning. Exposure to working with external technical ecosystem. MKDocs documentation Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

We Are Hiring! Sr. Azure Data Engineer at GSPANN Technologies - 5 + years of experience . Application Process: If you are ready to take the next step in your career and be a part of a leading IT services company, please send your updated CV to heena.ruchwani@gspann.com. 5 + years of experience . Location: Pune, Hyderabad, Gurgaon, Noida Key Skills & Experience: Azure Synapse Analytics Azure Data Factory (ADF) PySpark Databricks Expertise in developing and maintaining Stored Procedures Proven experience in designing and implementing scalable data solutions in Azure Preferred Qualifications: Minimum 6 years of hands-on experience working with Azure Data Services Strong analytical and problem-solving skills Excellent communication skills, both verbal and written Ability to collaborate effectively in a fast-paced, cross-functional environment Immediate Joiners Only: We are looking for professionals who can join immediately and contribute to dynamic projects. Application Process: If you are ready to take the next step in your career and be a part of a leading IT services company, please send your updated CV to heena.ruchwani@gspann.com. Join GSPANN Technologies and accelerate your career with exciting opportunities in data engineering!

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 : SAP Master Data Management & Architecture Good to have skills : NAMinimum 12 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 requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that solutions are effectively implemented across multiple teams, while maintaining a focus on quality and efficiency in application delivery. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Management & Architecture.- Strong understanding of data governance principles and practices.- Experience with data integration techniques and tools.- Ability to design and implement data models that support business processes.- Familiarity with data quality management and data lifecycle management. Additional Information:- The candidate should have minimum 12 years of experience in SAP Master Data Management & Architecture.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Manufacturing Operations Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : BE OR BTECH OR MTECH Summary :We are seeking a highly accomplished Senior Azure Cloud Architect with a proven track record in designing, developing, and implementing complex IoT solutions on the Azure platform. In this pivotal role, you will leverage your extensive knowledge of Azure IoT services, data management, and DevOps methodologies to architect and deliver scalable, robust, and innovative solutions that drive tangible business value for our clients.Key Responsibilities: Solution Architecture & Design:Lead the end-to-end architecture and design of IoT/IIoT solutions, translating business requirements into technical blueprints that are optimized for performance, scalability, security, and cost-efficiency. Technical Leadership:Provide expert technical guidance and mentorship to cross-functional teams, ensuring adherence to best practices and architectural standards. Customer Collaboration:Partner closely with clients to understand their unique challenges and objectives, crafting tailored IoT solutions that address their specific needs and exceed expectations. Implementation & Deployment:Oversee the seamless implementation and deployment of IoT solutions, ensuring timely project delivery and adherence to quality standards. Documentation & Knowledge Sharing:Develop and maintain comprehensive technical documentation, including architectural diagrams, design specifications, and operational guides. Share knowledge and expertise through internal training sessions and workshops. Innovation & Continuous Improvement:Stay abreast of the latest advancements in Azure IoT and related technologies, proactively identifying opportunities for innovation and optimization.Qualifications: Proven Experience:Minimum 6+ years of hands-on experience in Azure cloud environments, with a minimum of 4 years focused on architecting and implementing IoT solutions. Deep Technical Expertise:Demonstrated proficiency in Azure IoT Hub, Event Hub, Event Grid, Durable Functions, Logic Apps, Functions, Service Bus, Stream Analytics, Device Provisioning, Device Twin, Cosmos DB, Active Directory, Web Apps, API Management, Azure Monitor, and ideally, Azure Kubernetes Services (AKS). Strong Programming Skills:Proficiency in Java, Node.js, and/or Python. Database Migration Experience:A plus, but not required. Excellent Communication:Superior written and verbal communication skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Problem-Solving Acumen:A passion for tackling intricate challenges and devising elegant solutions. Collaborative Spirit:A track record of successful collaboration with cross-functional teams and stakeholders.Preferred Qualifications: Experience with Azure Data Lake and Azure DevOps, Microsoft Fabric. Azure certifications (e.g., Azure Solutions Architect Expert). Qualification BE OR BTECH OR MTECH