ARUL KABILAN’s Post

Requirement1: SR. Azure Data Engineer Location: Bharteeya City, Bangalore Mode: Hybrid Experience: 8-9+ Years, Relevant 5+years in Azure Data Engineer. Client is not taking 4.9 years relevant also Budget : Look till 32 LPA Summary A purposeful Azure Data Engineer with over 5-7 years of experience in designing, developing, implementing, and optimizing data solutions on Microsoft Azure. Proven expertise in leveraging Azure services for ETL processes, data warehousing and analytics, ensuring optimal performance and scalability. Skills Azure Services: Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, etc. Programming Languages: T-SQL, PySpark, Spark SQL, Fair knowledge on KQL. Data Modeling: ERD, Dimensional Modeling ETL Tools: Azure Data Factory, Fair Knowledge of SSIS Big Data Technologies: Fair knowledge on Hadoop and Spark Performance Tuning and Troubleshooting Version Control: Git, Azure DevOps Responsibilities Proficient T-SQL developer in developing complex queries, stored procedures and skilled in performance tuning and ensuring database integrity and security. Designed and implemented Azure-based data solutions, by reducing data processing and optimizing costs by implementing efficient resource utilization strategies. Conducted performance tuning and troubleshooting of Azure SQL databases, enhancing system stability. Developed and Managed end-to-end ETL pipelines using Azure Data Factory, with improvement in data integration efficiency. Implemented Azure Synapse Analytics to streamline analytics workflows. Implemented data integration solutions leveraging Azure Data Factory and Azure Synapse Analytics for seamless data flow. Managed the migration of legacy data systems to Azure Synapse Analytics ensuring minimal downtime and improved performance. Orchestrated the migration of data infrastructure to Azure Databricks, ensuring seamless integration and improved efficiency. Developed and deployed scalable data pipelines on Azure Databricks. Implemented robust security measures for data storage and processing in compliance with industry standards and regulations. Collaborated with cross-functional teams to optimize data architecture and improve data quality. Developed and maintained Azure Data Lake storage solutions, enabling seamless data ingestion and processing. SSIS exp. Is mandatory #Azuredataengineer #microsoftazure #Azureservices #SQL #Git #Azuredevops #Troubleshooting #TSQL #Bangalore

We are Hiring a Data Engineer…… Key Skills: ·        8+ years of experience as a Data Engineer in a cloud environment with Azure cloud ·        5+ years of experience in Azure services such as Data Factory, Data Bricks, Data flows,        Key Vaults, etc. Below skills needed: 1.      ADF   a.      Pipelines  b.      Data flows c.      Datasets d.      Activities e.      Triggers 2.      SQL Server & Cosmos DB 3.      Azure Integration Runtime 4.      Azure Blob/ Data lake storage   Nice to have: 1.      Azure Key vault 2.      Private network 3.      Data warehouse design 4.      Azure Synapse 5.      R/Python scripts 6.      Azure DevOps 7.      Bicep Key Responsibilities: ·        Data engineers design, build, and optimize systems for data collection, storage, and access at scale. ·        Analyze and organize raw data.  ·        Build data systems and pipelines. ·        Data modeling and analysis. ·        Evaluate business needs and objectives. ·        Interpret trends and patterns. ·        Conduct complex data analysis and report on results. ·        Prepare data for prescriptive and predictive modeling. ·        Combine raw information from different sources. ·        Explore ways to enhance data quality and reliability. ·        Authentication and Authorization in pipelines. ·        Key vault and secrets consumption. ·        Nice to have C#, WEB API  ·        Nice to have Hybrid source connections. ·        Nice to have DevOps Work Experience: 8+ years #consign #consignspacesolutions #consignjob #consignjobs #wearehiring #hiringnow #dataengineer #azurecloud #datafactory #databricks #dataflows #keyvault #sqlserver #cosmosdb #azureintegration #blobstorage #datalake #datawarehousing #azuresynapse #rscripts #pythonscripts #azuredevops #bicep #datamodeling #dataanalysis #datapipelines #prescriptivemodeling #predictivemodeling #dataquality #datareliability #authentication #authorization #csharp #webapi #hybridconnections #devops #techjobs #jobopening #workexperience

𝗔𝘀 𝗮 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗪𝗵𝘆 𝗜’𝗺 𝗘𝘅𝗰𝗶𝘁𝗲𝗱 𝗔𝗯𝗼𝘂𝘁 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗧𝗼 𝗦𝗰𝗮𝗹𝗲 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 📈 In the ever-expanding world of data, scaling databases effectively is a game-changer. As a Data Engineer, optimizing database performance and ensuring seamless access to data is always my top priority. That’s where these database scaling strategies shine. 🌟 𝗛𝗲𝗿𝗲'𝘀 𝗮 𝗾𝘂𝗶𝗰𝗸 𝗿𝘂𝗻-𝗱𝗼𝘄𝗻 𝗼𝗳 𝗸𝗲𝘆 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 𝗜 𝗹𝗼𝘃𝗲: 1️⃣ Indexing Analyze your application’s query patterns and design efficient indexes to speed up query execution. 2️⃣ Materialized Views Pre-compute and store complex query results, giving faster access to frequently used data. 3️⃣ Denormalization Simplify complex joins by reducing data redundancy in tables for faster query processing. 4️⃣ Vertical Scaling Boost server capacity by upgrading CPU, RAM, or storage for handling larger workloads. 5️⃣ Database Caching Store frequently accessed data in a faster layer to reduce database load and improve performance. 6️⃣ Replication Create copies of your database on multiple servers to balance read-heavy workloads. 7️⃣ Sharding Split tables into smaller pieces and distribute them across servers to handle scaling reads and writes efficiently. 🚀 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 Whether handling real-time financial transactions, massive e-commerce data, or user interactions, these strategies enable us to scale databases seamlessly, ensuring low latency and high availability. 🔍 𝗢𝘃𝗲𝗿 𝘁𝗼 𝘆𝗼𝘂: Which of these strategies have you implemented in your workflows? Let’s discuss in the comments. As I am actively looking new Senior Data Engineering roles, I’d love to connect with anyone hiring or looking for experienced professionals in this field. Please feel free to reach out at (513) 549-0553. #DataEngineering #DatabaseScaling #Indexing #Sharding #Caching #ETL #Starschema #Snowflakeschema #Azure #Databricks #FinancialServices #DataAutomation #PySpark #DataPipelines #CloudComputing #TechCareers #DataCompliance #Terraform #MultiCloud #AWS #Azure #GCP #DataEngineering #DevOps #Snowflake #scala #python #Apachespark #ApacheKafka #ELT #ReverseETL #DataIntegration #DataTransformation #DataLoading #BigData #BankingTech #DataManagement #CloudComputing #TechCareers #DataWarehouse #DataLakehouse #SrITRecruiter #TechnicalRecruiter #SeniorTalentAcquisitionSpecialist #GlobalTechRecruiter #SeniorTechnicalRecruiter #TalentAcquisition #RecruitingManager #USOpportunities #benchsales #recruiter #itjobs #usa #usaitjobs #vendors #virginia #cincinnati #california #bigdataanalytics #developer #c2c #corptocorp #benchsales #contractroles #usaitjobs #jobsinusa #c2requirement #usitrecruitment #TechCareers

Requirement1: SR. Azure Data Engineer Location: Bharteeya City, Bangalore Mode: Hybrid Experience: 8-9+ Years, Relevant 5+years in Azure Data Engineer. Client is not taking 4.9 years relevant also Budget : Look till 32 LPA Summary A purposeful Azure Data Engineer with over 5-7 years of experience in designing, developing, implementing, and optimizing data solutions on Microsoft Azure. Proven expertise in leveraging Azure services for ETL processes, data warehousing and analytics, ensuring optimal performance and scalability. Skills Azure Services: Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, etc. Programming Languages: T-SQL, PySpark, Spark SQL, Fair knowledge on KQL. Data Modeling: ERD, Dimensional Modeling ETL Tools: Azure Data Factory, Fair Knowledge of SSIS Big Data Technologies: Fair knowledge on Hadoop and Spark Performance Tuning and Troubleshooting Version Control: Git, Azure DevOps Responsibilities Proficient T-SQL developer in developing complex queries, stored procedures and skilled in performance tuning and ensuring database integrity and security. Designed and implemented Azure-based data solutions, by reducing data processing and optimizing costs by implementing efficient resource utilization strategies. Conducted performance tuning and troubleshooting of Azure SQL databases, enhancing system stability. Developed and Managed end-to-end ETL pipelines using Azure Data Factory, with improvement in data integration efficiency. Implemented Azure Synapse Analytics to streamline analytics workflows. Implemented data integration solutions leveraging Azure Data Factory and Azure Synapse Analytics for seamless data flow. Managed the migration of legacy data systems to Azure Synapse Analytics ensuring minimal downtime and improved performance. Orchestrated the migration of data infrastructure to Azure Databricks, ensuring seamless integration and improved efficiency. Developed and deployed scalable data pipelines on Azure Databricks. Implemented robust security measures for data storage and processing in compliance with industry standards and regulations. Collaborated with cross-functional teams to optimize data architecture and improve data quality. Developed and maintained Azure Data Lake storage solutions, enabling seamless data ingestion and processing. SSIS exp. Is mandatory Email: [email protected], contact no: 7995904048. #Azuredataengineer #microsoftazure #Azureservices #SQL #Git #Azuredevops #Troubleshooting #TSQL #Bangalore

We have an urgent requirement from our Client. Role: Data Architect (Microsoft Fabric & Azure Databricks) Location: Atlanta, GA (Hybrid Role) Duration: Long Term [email protected] Please mention the expected rate, Visa status, updated resume, and current location of the candidates to receive a quick response... #architect #micrsoft #fabric #azure #databricks #Lakehouse #Governance #security #data #technology #datascience #business #tech #dataanalytics #bigdata #ai #machinelearning #security #analytics #cybersecurity #cloud #network #database #artificialintelligence #cat #software #datavisualization #dataprotection #datascientist #it #innovation #python #internet #dataanalysis #programming #coding #iot #datacenter

Hii Connections, Hope you are doing well, We are urgently hiring for below positions please let me know if you are having any suitable resumes. E Mail- [email protected] Job Role : Analytics L3 Support Lead Location : Boston, MA- (Initially remote) Experience : 10+ years Must have skills:  Azure Data Factory, Google Big Query, Redpoint Data Management Job Description : Collaborates with Architect for product development by analyzing the requirement, development, testing and final delivery of product. Significant experience in Azure Technologies i.e., Azure ADF, IoT, Event Hub, Cosmos DB, SQL DB, Snowflake etc. Expert in Azure Big Data Architecture and Azure Ecosystem ecosystem. Leads small teams to deliver advanced data modelling and optimization at scale. Proficient in managing data from multiple sources. Adept at exploiting technologies to manage and manipulate data, scaling data models and solutions to support analytics of business insights. Can write high-performance, reliable, and maintainable code with Azure technologies. Proficient in setting up and working with huge Big Data clusters, cluster monitoring, and maintenance. Coordinates with Data Architect and Project manager to update about project status. Proficient in working with CDP (Customer Data Platform), Match & merge, Hierarchy maintenance etc. Knowledge in DevOps- integration framework, and design Pipelines integrated with Azure Devops. Understand repeated issues in Azure platform (Data, Analytics Pipelines) and provide automations to fix those issues permanently. #azure #architect #adf #data #devops #bigdata #googleBigQuery #cdp #dataarchitect #Cosmos #DB #SQLDB #Snowflake

Good Opportunity

We're #Hiring Role- Azure Data Engineer Experience- 6 TO 10 years Location- #PanIndia Notice Period- Immediate to 30days Extensive experience in designing, developing, and deploying #ETL/ELT #Bigdata pipelines using #AzureDataFactory and Azure Databricks. Strong hands on in #SQL development and in-depth understanding of optimization and tuning techniques in SQL with Azure DB, Synapse and #AzureDatabricks. Experience in building Delta Lake and high-performing scalable distributed systems. Experience in developing & integrating in Databricks #notebooks using #Spark and deploy jobs on #DataBricks #Azure Cloud. Knowledge of Azure #DevOps processes (including CI/CD) and code management using #github is preferable. Share #resumes to [email protected]    #AzureDataEngineer #github #DataBricks #Azure #Spark #AzureDatabricks #Bigdata #SQL #AzureDataFactory #PanIndia #hiring

Hello Connections, Hope you’re doing well! We’re currently looking for an experienced Data Architect for one of our direct client requirement. Please see the details below, and if you’re interested or know someone who might be, feel free to reach out to me at [email protected] Position: Data Architect - Microsoft Fabric & Azure Databricks Location: Atlanta, GA - Hybrid Duration: 6+ Months Contract Note: Need only Local to GA candidates Required Qualifications: Education: Bachelor’s degree in computer science or related field. Experience: 6+ years of experience in data architecture and engineering. 2+ years hands-on experience with Azure Databricks and Spark. Recent experience with Microsoft Fabric platform. Technical Skills: Microsoft Fabric Expertise: Data Integration: Combining and cleansing data from various sources. Data Pipeline Management: Creating, orchestrating, and troubleshooting data pipelines. Analytics Reporting: Building and delivering detailed reports and dashboards to derive meaningful insights from large datasets. Data Visualization Techniques: Representing data graphically in impactful and informative ways. Optimization and Security: Optimizing queries, improving performance, and securing data Azure Databricks Experience: Apache Spark Proficiency: Utilizing Spark for large-scale data processing and analytics. Data Engineering: Building and managing data pipelines, including ETL (Extract, Transform, Load) processes. Delta Lake: Implementing Delta Lake for data versioning, ACID transactions, and schema enforcement. Data Analysis and Visualization: Using Databricks notebooks for exploratory data analysis (EDA) and creating visualizations. Cluster Management: Configuring and managing Databricks clusters for optimized performance. (Ex: autoscaling and automatic termination) Integration with Azure Services: Integrating Databricks with other Azure services like Azure Data Lake, Azure SQL Database, and Azure  Synapse Analytics. Machine Learning: Developing and deploying machine learning models using Databricks MLflow and other tools. Data Governance: Implementing data governance practices using Unity Catalog and Microsoft Purview Programming & Query Languages: SQL: Proficiency in SQL for querying and managing databases, including skills in SELECT statements, JOINs, subqueries, and window functions12. Python: Using Python for data manipulation, analysis, and scripting, including libraries like Pandas, NumPy, and PySpark Data Modeling: Dimensional modeling Real-time data modeling patterns Preferred Experience: Azure DevOps Infrastructure as Code (Terraform) CI/CD for data pipelines Data mesh architecture Certifications (preferred): Microsoft Azure Data Engineer Associate Databricks Data Engineer Professional Microsoft Fabric certifications (as they become available) Thanks & Regards Sharif [email protected] #DataArchitect #DataArchitecture #Databricks #Hiring #Hybrid #C2C #Corp2Corp #CorptoCorp

#Hiring #Contract #W2 - Apply Here.!! #DataEngineer #MSFabric #Fabric #ETL #DataIntegration #SQL #Python #DataModeling #CloudPlatforms #Azure #AWS #BigData #Hadoop #Spark #Hiring #Contract #W2 #NewarkJobs #OnsiteJobs #TechJobs