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7.0 - 12.0 years
15 - 30 Lacs
Pune
Work from Office
Azure Cloud Data Lead Job Title: Azure Cloud Data Lead Location: Pune, India Experience: 7 - 12 Years Work Mode: Full-time, Office-based Company Overview : Smartavya Analytica is a niche Data and AI company based in Mumbai, established in 2017. We specialize in data-driven innovation, transforming enterprise data into strategic insights. With expertise spanning over 25+ Data Modernization projects and handling large datasets up to 24 PB in a single implementation, we have successfully delivered data and AI projects across multiple industries, including retail, finance, telecom, manufacturing, insurance, and capital markets. We are specialists in Cloud, Hadoop, Big Data, AI, and Analytics, with a strong focus on Data Modernization for On-premises, Private, and Public Cloud Platforms. Visit us at: https://smart-analytica.com Job Summary: We are looking for a highly experienced Azure Cloud Data Lead to oversee the architecture, design, and delivery of enterprise-scale cloud data solutions. This role demands deep expertise in Azure Data Services , strong hands-on experience with data engineering and governance , and a strategic mindset to guide cloud modernization initiatives across complex environments. Key Responsibilities: Architect and design data lakehouses , data warehouses , and analytics platforms using Azure Data Services . Lead implementations using Azure Data Factory (ADF) , Azure Synapse Analytics , and Azure Fabric (OneLake ecosystem). Define and implement data governance frameworks including cataloguing, lineage, security, and quality controls. Collaborate with business stakeholders, data engineers, and developers to translate business requirements into scalable Azure architectures. Ensure platform design meets performance, scalability, security, and regulatory compliance needs. Guide migration of on-premises data platforms to Azure Cloud environments. Create architectural artifacts: solution blueprints, reference architectures, governance models, and best practice guidelines. Collaborate with Sales / presales to customer meetings to understand the business requirement, the scope of work and propose relevant solutions. Drive the MVP/PoC and capability demos to prospective customers / opportunities Must-Have Skills: 7 - 12 years of experience in data architecture, data engineering, or analytics solutions. Hands-on expertise in Azure Cloud services: ADF , Synapse , Azure Fabric (OneLake) , and Databricks (good to have). Strong understanding of data governance , metadata management, and compliance frameworks (e.g., GDPR, HIPAA). Deep knowledge of relational and non-relational databases (SQL, NoSQL) on Azure. Experience with security practices (IAM, RBAC, encryption, data masking) in cloud environments. Strong client-facing skills with the ability to present complex solutions clearly. Preferred Certifications: Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate
Posted -1 days ago
6.0 - 10.0 years
8 - 12 Lacs
Pune, Gurugram, Bengaluru
Work from Office
Contractual Hiring manager :- My profile :- linkedin.com/in/yashsharma1608 Payroll of :- https://www.nyxtech.in/ 1. AZURE DATA ENGINEER WITH FABRIC The Role : Lead Data Engineer PAYROLL Client - Brillio About Role: Experience 6 to 8yrs Location- Bangalore , Hyderabad , Pune , Chennai , Gurgaon (Hyderabad is preferred) Notice- 15 days / 30 days. Budget -15 LPA AZURE FABRIC EXP MANDATE Skills : Azure Onelake, datapipeline , Apache Spark , ETL , Datafactory , Azure Fabric , SQL , Python/Scala. Key Responsibilities: Data Pipeline Development: Lead the design, development, and deployment of data pipelines using Azure OneLake, Azure Data Factory, and Apache Spark, ensuring efficient, scalable, and secure data movement across systems. ETL Architecture: Architect and implement ETL (Extract, Transform, Load) workflows, optimizing the process for data ingestion, transformation, and storage in the cloud. Data Integration: Build and manage data integration solutions that connect multiple data sources (structured and unstructured) into a cohesive data ecosystem. Use SQL, Python, Scala, and R to manipulate and process large datasets. Azure OneLake Expertise: Leverage Azure OneLake and Azure Synapse Analytics to design and implement scalable data storage and analytics solutions that support big data processing and analysis. Collaboration with Teams: Work closely with Data Scientists, Data Analysts, and BI Engineers to ensure that the data infrastructure supports analytical needs and is optimized for performance and accuracy. Performance Optimization: Monitor, troubleshoot, and optimize data pipeline performance to ensure high availability, fast processing, and minimal downtime. Data Governance & Security: Implement best practices for data governance, data security, and compliance within the Azure ecosystem, ensuring data privacy and protection. Leadership & Mentorship: Lead and mentor a team of data engineers, promoting a collaborative and high-performance team culture. Oversee code reviews, design decisions, and the implementation of new technologies. Automation & Monitoring: Automate data engineering workflows, job scheduling, and monitoring to ensure smooth operations. Use tools like Azure DevOps, Airflow, and other relevant platforms for automation and orchestration. Documentation & Best Practices: Document data pipeline architecture, data models, and ETL processes, and contribute to the establishment of engineering best practices, standards, and guidelines. C Innovation: Stay current with industry trends and emerging technologies in data engineering, cloud computing, and big data analytics, driving innovation within the team.C
Posted 1 week ago
5.0 - 10.0 years
5 - 10 Lacs
Hyderabad / Secunderabad, Telangana, Telangana, India
On-site
GitHub Actions + DevOPS Terraform / Bicep AKS Cluster and deployment Cloud Technology majorly Azure SQL server, Fabric, Data bricks etc.. Good to have Powershell Flawless Communication Job Description We are seeking an experienced Sr. Azure GitHub DevOps Engineer to join our team, supporting a global enterprise client. In this role, you will be responsible for designing and optimizing DevOps pipelines, leveraging GitHub Actions and Azure DevOps tools to streamline software delivery and infrastructure automation. This role requires expertise in GitHub Actions, Azure-native services, and modern DevOps methodologies to enable seamless collaboration and ensure scalable, secure, and efficient cloud-based solutions. Key Responsibilities GitHub Actions Development: Design, implement, and optimize CI/CD workflows using GitHub Actions to support multi-environment deployments. Leverage GitHub Actions for automated builds, tests, and deployments, ensuring integration with Azure services. Create reusable GitHub Actions templates and libraries for consistent DevOps practices. GitHub Repository Administration: Manage GitHub repositories, branching strategies, and access permissions. Implement GitHub features like Dependabot, code scanning, and security alerts to enhance code quality and security. Azure DevOps Integration: Utilize Azure Pipelines in conjunction with GitHub Actions to orchestrate complex CI/CD workflows. Configure and manage Azure services such as: Azure Kubernetes Service (AKS) for container orchestration. Azure Application Gateway and Azure Front Door for load balancing and traffic management. Azure Monitoring , Azure App Insights , and Azure KeyVault for observability, diagnostics, and secure secrets management. HELM charts and Microsoft Bicep for Infrastructure as Code. Automation & Scripting: Develop robust automation scripts using PowerShell , Bash , or Python to streamline operational tasks. Automate monitoring, deployments, and environment management workflows. Infrastructure Management: Oversee and maintain cloud environments with a focus on scalability, security, and reliability. Implement containerization strategies using Docker and orchestration via AKS . Collaboration: Partner with cross-functional teams to align DevOps practices with business objectives while maintaining compliance and security standards. Monitoring & Optimization: Deploy and maintain monitoring and logging tools to ensure system performance and uptime. Optimize pipeline execution times and infrastructure costs. Documentation & Best Practices: Document GitHub Actions workflows, CI/CD pipelines, and Azure infrastructure configurations. Advocate for best practices in version control, security, and DevOps methodologies. Qualifications Education: Bachelor's degree in Computer Science, Information Technology, or related field (preferred). Experience: 3+ years of experience in DevOps engineering with a focus on GitHub Actions and Azure DevOps tools. Proven track record of designing CI/CD workflows using GitHub Actions in production environments. Extensive experience with Azure services, including AKS, Azure Front Door, Azure Application Gateway, Azure KeyVault, Azure App Insights, and Azure Monitoring. Hands-on experience with Infrastructure as Code tools, including Microsoft Bicep and HELM charts . Technical Skills: GitHub Actions Expertise: Deep understanding of GitHub Actions, workflows, and integrations with Azure services. Scripting & Automation: Proficiency in PowerShell , Bash , and Python for creating automation scripts and custom GitHub Actions. Containerization & Orchestration: Experience with Docker and Kubernetes , including Azure Kubernetes Service (AKS). Security Best Practices: Familiarity with securing CI/CD pipelines, secrets management, and cloud environments. Monitoring & Optimization: Hands-on experience with Azure Monitoring, App Insights, and logging solutions to ensure system reliability. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and collaboration skills, with the ability to work in cross-functional and global teams. Detail-oriented with a commitment to delivering high-quality results. Preferred Qualifications Experience in DevOps practices within the financial or tax services industries. Familiarity with advanced GitHub features such as Dependabot, Security Alerts, and CodeQL. Knowledge of additional CI/CD platforms like Jenkins or CircleCI.
Posted 1 week ago
10.0 - 16.0 years
25 - 27 Lacs
Chennai
Work from Office
We at Dexian India, are looking to hire a Cloud Data PM with over 10 years of hands-on experience in AWS/Azure, DWH, and ETL. The role is based in Chennai with a shift from 2.00pm to 11.00pm IST. Key qualifications we seek in candidates include: - Solid understanding of SQL and data modeling - Proficiency in DWH architecture, including EDW/DM concepts and Star/Snowflake schema - Experience in designing and building data pipelines on Azure Cloud stack - Familiarity with Azure Data Explorer, Data Factory, Data Bricks, Synapse Analytics, Azure Fabric, Azure Analysis Services, and Azure SQL Datawarehouse - Knowledge of Azure DevOps and CI/CD Pipelines - Previous experience managing scrum teams and working as a Scrum Master or Project Manager on at least 2 projects - Exposure to on-premise transactional database environments like Oracle, SQL Server, Snowflake, MySQL, and/or Postgres - Ability to lead enterprise data strategies, including data lake delivery - Proficiency in data visualization tools such as Power BI or Tableau, and statistical analysis using R or Python - Strong problem-solving skills with a track record of deriving business insights from large datasets - Excellent communication skills and the ability to provide strategic direction to technical and business teams - Prior experience in presales, RFP and RFI responses, and proposal writing is mandatory - Capability to explain complex data solutions clearly to senior management - Experience in implementing, managing, and supporting data warehouse projects or applications - Track record of leading full-cycle implementation projects related to Business Intelligence - Strong team and stakeholder management skills - Attention to detail, accuracy, and ability to meet tight deadlines - Knowledge of application development, APIs, Microservices, and Integration components Tools & Technology Experience Required: - Strong hands-on experience in SQL or PLSQL - Proficiency in Python - SSIS or Informatica (Mandatory one of the tools) - BI: Power BI, or Tableau (Mandatory one of the tools)
Posted 3 weeks ago
10.0 - 16.0 years
25 - 28 Lacs
Chennai, Tamil Nadu, India
On-site
We at Dexian India, are looking to hire a Cloud Data PM with over 10 years of hands-on experience in AWS/Azure, DWH, and ETL. The role is based in Chennai with a shift from 2.00pm to 11.00pm IST. Key qualifications we seek in candidates include: - Solid understanding of SQL and data modeling - Proficiency in DWH architecture, including EDW/DM concepts and Star/Snowflake schema - Experience in designing and building data pipelines on Azure Cloud stack - Familiarity with Azure Data Explorer, Data Factory, Data Bricks, Synapse Analytics, Azure Fabric, Azure Analysis Services, and Azure SQL Datawarehouse - Knowledge of Azure DevOps and CI/CD Pipelines - Previous experience managing scrum teams and working as a Scrum Master or Project Manager on at least 2 projects - Exposure to on-premise transactional database environments like Oracle, SQL Server, Snowflake, MySQL, and/or Postgres - Ability to lead enterprise data strategies, including data lake delivery - Proficiency in data visualization tools such as Power BI or Tableau, and statistical analysis using R or Python - Strong problem-solving skills with a track record of deriving business insights from large datasets - Excellent communication skills and the ability to provide strategic direction to technical and business teams - Prior experience in presales, RFP and RFI responses, and proposal writing is mandatory - Capability to explain complex data solutions clearly to senior management - Experience in implementing, managing, and supporting data warehouse projects or applications - Track record of leading full-cycle implementation projects related to Business Intelligence - Strong team and stakeholder management skills - Attention to detail, accuracy, and ability to meet tight deadlines - Knowledge of application development, APIs, Microservices, and Integration components Tools & Technology Experience Required: - Strong hands-on experience in SQL or PLSQL - Proficiency in Python - SSIS or Informatica (Mandatory one of the tools) - BI: Power BI, or Tableau (Mandatory one of the tools)
Posted 3 weeks ago
9.0 - 14.0 years
30 - 45 Lacs
Bengaluru
Work from Office
Design, deploy, and optimize Azure-based data pipelines and architectures. Ensure scalability, data integrity, and CI/CD automation. Collaborate with analytics teams and lead data engineering initiatives across hybrid data platforms Required Candidate profile Bachelor’s in CS/IT with 7–12 years of experience in Azure data engineering. Strong in ADF, Synapse, Databricks, and CI/CD. Able to mentor junior engineers, optimize large-scale data systems
Posted 3 weeks ago
10.0 - 20.0 years
20 - 35 Lacs
Chennai
Work from Office
Hadoop, Spark, and Kafka, in the Cloud ecosystem. AWS, Azure GCP. data modeling, data integration, and data management best practices. GDPR, HIPAA, and other industry regulations. AWS, Azure and GCP
Posted 3 weeks ago
15.0 - 20.0 years
20 - 30 Lacs
Pune
Work from Office
We are seeking a seasoned Technical Project Manager to oversee and guide large service engagements, involving teams of 35-50 individuals. This role requires a balance of technical know-how, exceptional leadership abilities, and proven project management skills.
Posted 3 weeks ago
10.0 - 15.0 years
30 - 45 Lacs
Pune
Work from Office
Azure Cloud Data Solutions Architect Job Title: Azure Cloud Data Solutions Architect Location: Pune, India Experience: 10 - 15 Years Work Mode: Full-time, Office-based Company : Smartavya Analytica Private Limited Company Overview: Smartavya Analytica is a niche Data and AI company based in Mumbai, established in 2017. We specialize in data-driven innovation, transforming enterprise data into strategic insights. With expertise spanning over 25+ Data Modernization projects and handling large datasets up to 24 PB in a single implementation, we have successfully delivered data and AI projects across multiple industries, including retail, finance, telecom, manufacturing, insurance, and capital markets. We are specialists in Cloud, Hadoop, Big Data, AI, and Analytics, with a strong focus on Data Modernization for On-premises, Private, and Public Cloud Platforms. Visit us at: https://smart-analytica.com Job Summary: We are seeking an experienced Azure Cloud Data Solutions Architect to lead end-to-end architecture and delivery of enterprise-scale cloud data platforms. The ideal candidate will have deep expertise in Azure Data Services , Data Engineering , and Data Governance , with the ability to architect and guide cloud modernization initiatives. Key Responsibilities: Architect and design data lakehouses , data warehouses , and analytics platforms using Azure Data Services . Lead implementations using Azure Data Factory (ADF) , Azure Synapse Analytics , and Azure Fabric (OneLake ecosystem). Define and implement data governance frameworks including cataloguing, lineage, security, and quality controls. Collaborate with business stakeholders, data engineers, and developers to translate business requirements into scalable Azure architectures. Ensure platform design meets performance, scalability, security, and regulatory compliance needs. Guide migration of on-premises data platforms to Azure Cloud environments. Create architectural artifacts: solution blueprints, reference architectures, governance models, and best practice guidelines. Collaborate with Sales / presales to customer meetings to understand the business requirement, the scope of work and propose relevant solutions. Drive the MVP/PoC and capability demos to prospective customers / opportunities Must-Have Skills: 1015 years of experience in data architecture, data engineering, or analytics solutions. Hands-on expertise in Azure Cloud services: ADF , Synapse , Azure Fabric (OneLake) , and Databricks (good to have). Strong understanding of data governance , metadata management, and compliance frameworks (e.g., GDPR, HIPAA). Deep knowledge of relational and non-relational databases (SQL, NoSQL) on Azure. Experience with security practices (IAM, RBAC, encryption, data masking) in cloud environments. Strong client-facing skills with the ability to present complex solutions clearly. Preferred Certifications: Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate
Posted 3 weeks ago
8 - 10 years
27 - 32 Lacs
Andhra Pradesh
Work from Office
We are seeking a highly skilled and experienced Azure Engineer with strong expertise in Business Intelligence (BI) and hands-on experience with Microsoft Fabric. The ideal candidate will have a solid background in cloud-based data solutions extensive experience in designing and implementing BI platforms and a passion for driving analytics and data-driven decision-making. Key Responsibilities: Azure Platform Management: Design implement and maintain scalable Azure solutions including Azure Data Lake Azure Synapse Analytics and Azure Data Factory. Manage cloud resources including compute storage and networking ensuring optimal performance and cost efficiency. Business Intelligence Solutions: Develop and maintain BI dashboards and reports using tools like Power BI. Optimize data models and ETL/ELT pipelines for BI reporting and analytics. Microsoft Fabric Expertise: Leverage Microsoft Fabric capabilities to integrate data engineering data science and BI processes into a unified platform. Provide guidance on adopting Fabric for end-to-end data workflows including Data Pipelines Real-Time Analytics and Lakehouses. Collaboration and Leadership: Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Mentor junior team members on best practices in Azure and BI development. Performance Optimization: Monitor troubleshoot and optimize Azure BI solutions to ensure high availability and reliability. Implement automation scripts for deployments and monitoring. Required Qualifications: Technical Expertise: 8-10 years of experience in cloud computing with a strong focus on Azure services. Proficiency in Azure Data Factory Azure Synapse Analytics Azure Data Lake and Power BI. Hands-on experience with Microsoft Fabric including integration of various Fabric workloads. BI and Data Analytics: Strong knowledge of data modeling ETL/ELT processes and data visualization. Experience designing and implementing enterprise-level BI platforms. Programming Skills: Expertise in SQL Python or other scripting languages for data processing and automation. Knowledge of DevOps practices and CI/CD pipelines on Azure. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities to work with stakeholders at all levels. Preferred Skills: Certifications: Microsoft Certified: Azure Solutions Architect Expert. Microsoft Certified: Power BI Data Analyst Associate. Familiarity with other BI tools like Tableau or QlikView. Knowledge of Machine Learning and AI capabilities within Azure or Fabric. Familiarity with real-time streaming tools such as Azure Event Hubs or Kafka.
Posted 2 months ago
8 - 10 years
27 - 32 Lacs
Andhra Pradesh
Work from Office
We are seeking a highly skilled and experienced Azure Engineer with strong expertise in Business Intelligence (BI) and hands-on experience with Microsoft Fabric. The ideal candidate will have a solid background in cloud-based data solutions extensive experience in designing and implementing BI platforms and a passion for driving analytics and data-driven decision-making. Key Responsibilities: Azure Platform Management: Design implement and maintain scalable Azure solutions including Azure Data Lake Azure Synapse Analytics and Azure Data Factory. Manage cloud resources including compute storage and networking ensuring optimal performance and cost efficiency. Business Intelligence Solutions: Develop and maintain BI dashboards and reports using tools like Power BI. Optimize data models and ETL/ELT pipelines for BI reporting and analytics. Microsoft Fabric Expertise: Leverage Microsoft Fabric capabilities to integrate data engineering data science and BI processes into a unified platform. Provide guidance on adopting Fabric for end-to-end data workflows including Data Pipelines Real-Time Analytics and Lakehouses. Collaboration and Leadership: Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Mentor junior team members on best practices in Azure and BI development. Performance Optimization: Monitor troubleshoot and optimize Azure BI solutions to ensure high availability and reliability. Implement automation scripts for deployments and monitoring. Required Qualifications: Technical Expertise: 8-10 years of experience in cloud computing with a strong focus on Azure services. Proficiency in Azure Data Factory Azure Synapse Analytics Azure Data Lake and Power BI. Hands-on experience with Microsoft Fabric including integration of various Fabric workloads. BI and Data Analytics: Strong knowledge of data modeling ETL/ELT processes and data visualization. Experience designing and implementing enterprise-level BI platforms. Programming Skills: Expertise in SQL Python or other scripting languages for data processing and automation. Knowledge of DevOps practices and CI/CD pipelines on Azure. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities to work with stakeholders at all levels. Preferred Skills: Certifications: Microsoft Certified: Azure Solutions Architect Expert. Microsoft Certified: Power BI Data Analyst Associate. Familiarity with other BI tools like Tableau or QlikView. Knowledge of Machine Learning and AI capabilities within Azure or Fabric. Familiarity with real-time streaming tools such as Azure Event Hubs or Kafka.
Posted 2 months ago
16 - 18 years
27 - 37 Lacs
Bengaluru
Hybrid
Designation Business Line : Advisory - Digital - DA - Enterprise Delivery Architect Job Summery : This position will work with cutting edge technology, deliver high quality solutions across various industries, and oversee team(s) on engagements that range in size and scope. This position will receive continuous career development opportunities, given the size and potential of client engagements. This role will support actualizing of a business strategic vision by understanding the current state of technology, performing gap analyses, and developing plans to close the gaps. This position will ultimately own consulting relationships across multiple clients and technologies. The Enterprise Architect is an entrepreneurial-minded individual who works with our clients to define and implement their long-term information architectures and strategies. A successful candidate is someone who believes nothing is impossible, has a broad experience with systems, platforms, and integrations, can establish a clear vision of our clients needs and put a plan into action, is a self-starter, and views challenges and obstacles as opportunities for growth and reward. This position will collaborate with the Data Analytics Practice at BDO Digital(USA). BDO Digital is an IT advisory and technology services consulting organization. Core Roles and Responsibilities : Enterprise Architecture: Leads, architects, and defines and implements best in class the technical architecture for data ingestion strategies, data warehouse and data mart structures, semantic layers and model on primarily, but not limited to, cloud analytics platforms Visualization Leads, design, and defines and implements best in class business intelligence strategies, methodologies Implementation and Support Supports creation of written functional, architectural, and technical designs. Responsible for overall quality and accurate implementation of deliverables from the technical team. Consulting : Manages and oversees client needs, analyzes best practices and plays an integral part in defining and proposing business value solutions, to meet or exceed client expectations Other duties as required Supervisory Responsibilities: Development Team Lead: Responsible for design and technical oversight of a team of developers Mentoring and Coaching: Responsible for ensuring the team is properly supported on projects, and provides direct support as needed. Project Oversight: Hands-on management of project teams and ensures timelines and deliverables are met Oversees time reporting accuracy and the technical management of projects Performs delegation, code reviews, and ensures adherence to standards Responsible for project delivery to ensure that timelines and deliverables are met Responsible for overall quality and accurate implementation of deliverables from the technical Technical Set Requirements : Education: Bachelors degree from an accredited university, required; degree with a focus in Computer Science, preferred Experience: Ten (10) or more years of data engineering experience, required Five (5) or more years of data visualization experience, DAX programming, API, Data Model, SQL, Story Telling and wireframe design, required Four (4) or more years of technically leading development projects, required Four (4) or more years producing technical designs (artifacts), preferred Professional experience in using PySpark, Snowflake, SQL and SQL Server, Power BI required knowledge in Data Lake/Data Warehousing/ Big data tools, Apache Spark, RDBMS and NoSQL, Knowledge Graph Strong experience of Azure Data Services such as Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL Database, Azure Cosmos DB, Azure Blob Storage/Data Lake Storage, and Azure Stream Analytics. Good understanding of ETL cycle Core Skillet Required - Pyspark, SQL, SQL Server, Azure Synapse, Azure Fabric, Python
Posted 3 months ago
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